Triple

T9997661
Position Surface form Disambiguated ID Type / Status
Subject Chernin Entertainment E197242 entity
Predicate keyPerson P256 FINISHED
Object Peter Chernin E199364 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: Peter Chernin | Statement: [Chernin Entertainment, keyPerson, Peter Chernin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Chernin
Context triple: [Chernin Entertainment, keyPerson, 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. Jonathan Goldsmith
    Jonathan Goldsmith is a Canadian composer best known for his film and television scores.
  • C. 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.
  • D. Laurence Tisch
    Laurence Tisch was an American businessman and investor best known as the co-owner of Loews Corporation and former CEO of CBS.
  • E. Ronald Perelman
    Ronald Perelman is an American billionaire investor and corporate raider best known for building a vast business empire through leveraged buyouts and his long-time control of Revlon.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8aa1a881909879a694496f11a5 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2820063f48190886619fe26b0cc94 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:51 p.m.