Triple

T19647867
Position Surface form Disambiguated ID Type / Status
Subject Truth Be Told E471727 entity
Predicate executiveProducer P7225 FINISHED
Object Peter Chernin NE NERFINISHED

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: Peter Chernin | Statement: [Truth Be Told, executiveProducer, Peter Chernin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Chernin
Context triple: [Truth Be Told, executiveProducer, Peter Chernin]
  • A. Peter Chernin chosen
    Peter Chernin is an American media executive and film and television producer, known for leading Fox’s entertainment operations and founding The Chernin Group.
  • B. John Chernin
    John Chernin is an American television writer and producer best known for co-creating the comedy series "The Mick" and working on shows like "It's Always Sunny in Philadelphia."
  • C. Jonathan Goldsmith
    Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
  • D. Sidney Sheinberg
    Sidney Sheinberg was an influential American entertainment executive best known for his long tenure as president and COO of MCA/Universal Studios and for helping launch the career of director Steven Spielberg.
  • E. Bernard Wasserstein
    Bernard Wasserstein is a British historian known for his influential works on modern European and Jewish history.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.