Triple

T9846587
Position Surface form Disambiguated ID Type / Status
Subject Shoot the Piano Player E239355 entity
Predicate authorOfSourceWork P2353 FINISHED
Object David Goodis
David Goodis was an American noir and hardboiled crime novelist known for his bleak, psychologically driven stories of down-and-out characters.
 E824860 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: David Goodis | Statement: [Shoot the Piano Player, authorOfSourceWork, David Goodis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Goodis
Context triple: [Shoot the Piano Player, authorOfSourceWork, David Goodis]
  • A. Kevin Crowe
    Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
  • B. Michael Kimmelman
    Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
  • C. David Thomson
    David Thomson is a Canadian media magnate and billionaire who serves as the chairman of Thomson Reuters and is one of the wealthiest individuals in Canada.
  • D. John Simon (critic)
    John Simon was a prominent American theater, film, and literary critic known for his erudite, often acerbic reviews and long tenure at New York magazine.
  • E. John Powers
    John Powers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to a single widely recognized figure.
  • 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: David Goodis
Triple: [Shoot the Piano Player, authorOfSourceWork, David Goodis]
Generated description
David Goodis was an American noir and hardboiled crime novelist known for his bleak, psychologically driven stories of down-and-out characters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Goodis
Target entity description: David Goodis was an American noir and hardboiled crime novelist known for his bleak, psychologically driven stories of down-and-out characters.
  • A. Kevin Crowe
    Kevin Crowe is a songwriter best known for co-writing the hit track "Young, Wild & Free."
  • B. Michael Kimmelman
    Michael Kimmelman is an American architecture critic and journalist best known for his work at The New York Times.
  • C. David Thomson
    David Thomson is a Canadian media magnate and billionaire who serves as the chairman of Thomson Reuters and is one of the wealthiest individuals in Canada.
  • D. John Simon (critic)
    John Simon was a prominent American theater, film, and literary critic known for his erudite, often acerbic reviews and long tenure at New York magazine.
  • E. John Powers
    John Powers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to a single widely recognized figure.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
NEDg Description generation batch_69d1d6a385ac8190b5dd11adfbb7578d completed April 5, 2026, 3:27 a.m.
NED2 Entity disambiguation (via description) batch_69d1d75210f4819096ee05a8b870581e completed April 5, 2026, 3:30 a.m.
Created at: March 30, 2026, 8:34 p.m.