Triple
T12892909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runaway Bride |
E308411
|
entity |
| Predicate | plotSummary |
P264
|
FINISHED |
| Object |
A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story.
Runaway Bride is a 1999 romantic comedy film starring Julia Roberts and Richard Gere about a commitment-shy woman and the jaded journalist who investigates—and ultimately falls for—her.
|
E1007922
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story. | Statement: [Runaway Bride, plotSummary, A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story. Context triple: [Runaway Bride, plotSummary, A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story.]
-
A.
Sex and the City (newspaper column)
Sex and the City (newspaper column) is Candace Bushnell’s mid-1990s New York Observer column chronicling the romantic and social lives of single women in New York City, which later inspired the hit HBO television series.
-
B.
Adultery (short story)
"Adultery" is a short story by Andre Dubus that explores the emotional complexities and moral ambiguities of marital infidelity.
-
C.
Confessions of a Married Woman
Confessions of a Married Woman is a novel by American writer and television comedy writer Gail Parent that explores the complexities and humor of modern married life.
-
D.
The College Widow
The College Widow is a 1904 stage comedy by George Ade that satirizes college life and football culture, later serving as the basis for several adaptations in theater and film.
-
E.
Woman taken in adultery
Woman taken in adultery is a famous New Testament story in the Gospel of John in which Jesus confronts a crowd ready to stone an accused adulterous woman, highlighting mercy and the challenge, “Let him who is without sin cast the first stone.”
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story. Triple: [Runaway Bride, plotSummary, A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story.]
Generated description
Runaway Bride is a 1999 romantic comedy film starring Julia Roberts and Richard Gere about a commitment-shy woman and the jaded journalist who investigates—and ultimately falls for—her.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A woman notorious for leaving multiple fiancés at the altar becomes the subject of a cynical New York columnist who travels to her hometown to investigate her story. Target entity description: Runaway Bride is a 1999 romantic comedy film starring Julia Roberts and Richard Gere about a commitment-shy woman and the jaded journalist who investigates—and ultimately falls for—her.
-
A.
Sex and the City (newspaper column)
Sex and the City (newspaper column) is Candace Bushnell’s mid-1990s New York Observer column chronicling the romantic and social lives of single women in New York City, which later inspired the hit HBO television series.
-
B.
Adultery (short story)
"Adultery" is a short story by Andre Dubus that explores the emotional complexities and moral ambiguities of marital infidelity.
-
C.
Confessions of a Married Woman
Confessions of a Married Woman is a novel by American writer and television comedy writer Gail Parent that explores the complexities and humor of modern married life.
-
D.
The College Widow
The College Widow is a 1904 stage comedy by George Ade that satirizes college life and football culture, later serving as the basis for several adaptations in theater and film.
-
E.
Woman taken in adultery
Woman taken in adultery is a famous New Testament story in the Gospel of John in which Jesus confronts a crowd ready to stone an accused adulterous woman, highlighting mercy and the challenge, “Let him who is without sin cast the first stone.”
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971484aa08190a8adfafabe600903 |
completed | April 10, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a55be3288190b2bc0bd197431db3 |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a6179cdc8190976daa1384032445 |
completed | May 3, 2026, 1:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a6cbec348190a96a0194b2d6be4b |
completed | May 3, 2026, 1:37 a.m. |
Created at: April 9, 2026, 5:40 p.m.