Triple

T11880142
Position Surface form Disambiguated ID Type / Status
Subject Applause (musical) E282636 entity
Predicate bookBy P2353 FINISHED
Object Buck Henry E244391 NE FINISHED

How this triple was built (2 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: Buck Henry | Statement: [Applause (musical), bookBy, Buck Henry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buck Henry
Context triple: [Applause (musical), bookBy, Buck Henry]
  • A. Buck Henry chosen
    Buck Henry was an American screenwriter, actor, and director best known for co-writing the landmark film "The Graduate" and co-creating the TV series "Get Smart."
  • B. Larry Gelbart
    Larry Gelbart was an American comedy writer best known for co-creating the TV series M*A*S*H and writing sharp, witty scripts for stage, film, and television.
  • C. Jerry Klein
    Jerry Klein is a fictional character featured prominently in the crime drama television series "Under Suspicion."
  • D. Buck Henry Zuckerman
    Buck Henry Zuckerman, known professionally as Buck Henry, was an American screenwriter, actor, and director best known for co-writing "The Graduate" and co-creating the television series "Get Smart."
  • E. Rod Lurie
    Rod Lurie is an Israeli-American filmmaker and former film critic known for directing politically charged dramas and war films such as "The Contender" and "The Outpost."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8be1cad5c8190a45dfb0f0cc2a512 completed April 10, 2026, 9:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281e6f8888190bc8495b1261a86df completed April 29, 2026, 10:10 p.m.
Created at: April 8, 2026, 9:44 p.m.