Triple
T10573857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragnet (film, 1987) |
E249560
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Connie Swail
Connie Swail is a fictional young woman who becomes the love interest of Joe Friday in the 1987 comedy film adaptation of "Dragnet."
|
E913709
|
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: Connie Swail | Statement: [Dragnet (film, 1987), character, Connie Swail]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Connie Swail Context triple: [Dragnet (film, 1987), character, Connie Swail]
-
A.
Connie Morgan
Connie Morgan was a pioneering female second baseman in Negro league baseball, best known for playing with the Indianapolis Clowns in the 1950s.
-
B.
Connie Nickerson
Connie Nickerson was the wife of American actor and comedian Eddie Bracken.
-
C.
Shauna Shipman
Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
-
D.
Allison Feaster
Allison Feaster is a former American professional basketball player best known for her standout WNBA career and later work as an NBA front office executive.
-
E.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
- 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: Connie Swail Triple: [Dragnet (film, 1987), character, Connie Swail]
Generated description
Connie Swail is a fictional young woman who becomes the love interest of Joe Friday in the 1987 comedy film adaptation of "Dragnet."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Connie Swail Target entity description: Connie Swail is a fictional young woman who becomes the love interest of Joe Friday in the 1987 comedy film adaptation of "Dragnet."
-
A.
Connie Morgan
Connie Morgan was a pioneering female second baseman in Negro league baseball, best known for playing with the Indianapolis Clowns in the 1950s.
-
B.
Connie Nickerson
Connie Nickerson was the wife of American actor and comedian Eddie Bracken.
-
C.
Shauna Shipman
Shauna Shipman is a central character in the TV series "Yellowjackets," portrayed as a complex survivor whose past trauma and secrets deeply shape the show's present-day storyline.
-
D.
Allison Feaster
Allison Feaster is a former American professional basketball player best known for her standout WNBA career and later work as an NBA front office executive.
-
E.
Corinne Kingsbury
Corinne Kingsbury is an American television writer and producer known for creating the series "In the Dark" and "Fam."
- 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_69d381c8bd708190acf3d275c908251e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5274929cc81909a79d5e2049f7389 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cbacad608190adddd91f13e4113b |
completed | April 19, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69e4d9e87508819080932fac06fb754d |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4dda28b0081909245b65faae3533b |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 6, 2026, 12:37 p.m.