Triple

T21957844
Position Surface form Disambiguated ID Type / Status
Subject Ben and Kate E542237 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: [Ben and Kate, executiveProducer, Peter Chernin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Chernin
Context triple: [Ben and Kate, 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_69e0c47fab1081908dc74a6545dbb051 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1244108948190a08e6966e55c4acd completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 8 p.m.