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.