Triple
T307798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Truman Capote |
E6339
|
entity |
| Predicate | partner |
P1136
|
FINISHED |
| Object |
Jack Dunphy
Jack Dunphy was an American novelist and playwright best known for his long-term romantic and literary partnership with Truman Capote.
|
E47646
|
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: Jack Dunphy | Statement: [Truman Capote, partner, Jack Dunphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Dunphy Context triple: [Truman Capote, partner, Jack Dunphy]
-
A.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
B.
Mancel Warrick
Mancel Warrick was the father of American soul and R&B singer Dee Dee Warwick and a member of the musical Warwick family.
-
C.
James Barrett
James Barrett was a colonial militia colonel from Concord, Massachusetts, who played a key leadership role in organizing and directing local forces at the outset of the American Revolutionary War.
-
D.
Jamaal Myers
Jamaal Myers is a Canadian politician who serves as the chair of Toronto’s public transit agency and a member of Toronto City Council.
-
E.
Joe Fulks
Joe Fulks was an early professional basketball star and prolific scorer, widely regarded as one of the pioneers of the modern jump shot in the 1940s.
- 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: Jack Dunphy Triple: [Truman Capote, partner, Jack Dunphy]
Generated description
Jack Dunphy was an American novelist and playwright best known for his long-term romantic and literary partnership with Truman Capote.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jack Dunphy Target entity description: Jack Dunphy was an American novelist and playwright best known for his long-term romantic and literary partnership with Truman Capote.
-
A.
Darnell Donerson
Darnell Donerson was the mother of singer and actress Jennifer Hudson, tragically known for her murder in 2008.
-
B.
Mancel Warrick
Mancel Warrick was the father of American soul and R&B singer Dee Dee Warwick and a member of the musical Warwick family.
-
C.
James Barrett
James Barrett was a colonial militia colonel from Concord, Massachusetts, who played a key leadership role in organizing and directing local forces at the outset of the American Revolutionary War.
-
D.
Jamaal Myers
Jamaal Myers is a Canadian politician who serves as the chair of Toronto’s public transit agency and a member of Toronto City Council.
-
E.
Joe Fulks
Joe Fulks was an early professional basketball star and prolific scorer, widely regarded as one of the pioneers of the modern jump shot in the 1940s.
- 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_69a2e79230508190b912ecb555aae17e |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea3289608190a36c20a47761c6e4 |
completed | Feb. 28, 2026, 1:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f4d55d70819099ae6f963e3ed5a0 |
completed | March 1, 2026, 8:12 a.m. |
| NEDg | Description generation | batch_69a3f6292ff48190a0b8b6866951ed9a |
completed | March 1, 2026, 8:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f68dabdc81908719b51503df370b |
completed | March 1, 2026, 8:19 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.