Triple

T3239290
Position Surface form Disambiguated ID Type / Status
Subject The Cosby Show E67928 entity
Predicate executiveProducer P7225 FINISHED
Object Tom Werner E27709 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: Tom Werner | Statement: [The Cosby Show, executiveProducer, Tom Werner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Werner
Context triple: [The Cosby Show, executiveProducer, Tom Werner]
  • A. Tom Werner chosen
    Tom Werner is an American television producer and businessman best known as a co-owner and chairman of the Boston Red Sox and Liverpool FC.
  • B. Pete Schoening
    Pete Schoening was an American mountaineer renowned for his pioneering high-altitude climbs and legendary feats of climbing skill and survival.
  • C. Gene L. Dodaro
    Gene L. Dodaro is an American public official who leads the U.S. Government Accountability Office as its chief auditor and oversight authority.
  • D. Justin Walker
    Justin Walker is an American actor best known for his role as Christian Stovitz in the 1995 teen comedy film "Clueless."
  • E. Michael Schultz
    Michael Schultz is an American film and television director best known for his influential work on 1970s comedies and dramas, including the cult classic "Car Wash."
  • 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_69ad858d27348190abb61c280b4c86a9 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaef4c0bc819095e4f84296fe7cb6 completed March 8, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2774f93448190b8493b457636ae48 completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.