Triple
T13792280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumping the Broom |
E331427
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Arlene Gibbs
Arlene Gibbs is a screenwriter best known for co-writing the romantic comedy film "Jumping the Broom."
|
E1090082
|
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: Arlene Gibbs | Statement: [Jumping the Broom, screenwriter, Arlene Gibbs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlene Gibbs Context triple: [Jumping the Broom, screenwriter, Arlene Gibbs]
-
A.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
B.
Arlene Howell
Arlene Howell is an American actress best known for her role as the secretary Melody Lee Mercer on the television detective series "Bourbon Street Beat."
-
C.
Arlene Phillips
Arlene Phillips is a British choreographer and television personality best known for her work on stage musicals and as a judge on popular dance competition shows.
-
D.
Arlene Francis
Arlene Francis was an American actress, radio and television talk show host, and longtime panelist on the game show "What's My Line?"
-
E.
Myrtle Gordon
Myrtle Gordon is the aging, emotionally fragile stage actress at the center of John Cassavetes' film "Opening Night," whose personal crisis mirrors the play she is performing.
- 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: Arlene Gibbs Triple: [Jumping the Broom, screenwriter, Arlene Gibbs]
Generated description
Arlene Gibbs is a screenwriter best known for co-writing the romantic comedy film "Jumping the Broom."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlene Gibbs Target entity description: Arlene Gibbs is a screenwriter best known for co-writing the romantic comedy film "Jumping the Broom."
-
A.
Arlene Miles
Arlene Miles was the first wife of American jazz singer and songwriter Mel Tormé.
-
B.
Arlene Howell
Arlene Howell is an American actress best known for her role as the secretary Melody Lee Mercer on the television detective series "Bourbon Street Beat."
-
C.
Arlene Phillips
Arlene Phillips is a British choreographer and television personality best known for her work on stage musicals and as a judge on popular dance competition shows.
-
D.
Arlene Francis
Arlene Francis was an American actress, radio and television talk show host, and longtime panelist on the game show "What's My Line?"
-
E.
Myrtle Gordon
Myrtle Gordon is the aging, emotionally fragile stage actress at the center of John Cassavetes' film "Opening Night," whose personal crisis mirrors the play she is performing.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd323be8d48190b0b289f25de06fb1 |
completed | May 8, 2026, 12:45 a.m. |
| NEDg | Description generation | batch_69fd366ca0a88190a93ba290c56ee220 |
completed | May 8, 2026, 1:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd377b46788190a06d7f41aa37a9f5 |
completed | May 8, 2026, 1:08 a.m. |
Created at: April 9, 2026, 10:11 p.m.