Triple

T6092119
Position Surface form Disambiguated ID Type / Status
Subject Bewkes E135789 entity
Predicate usedBy P260 FINISHED
Object Jeff Bewkes E25251 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: Jeff Bewkes | Statement: [Bewkes, usedBy, Jeff Bewkes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Bewkes
Context triple: [Bewkes, usedBy, Jeff Bewkes]
  • A. Jeff Bewkes chosen
    Jeff Bewkes is an American media executive best known for leading Time Warner through major strategic shifts, including the spin-off of its cable division and the expansion of its television and film assets.
  • B. Max Iger
    Max Iger is a member of the Iger family best known as one of the children of longtime Disney CEO Bob Iger.
  • C. Gerald Levin
    Gerald Levin is an American media executive best known for leading Time Warner as CEO and orchestrating its landmark merger with AOL.
  • D. Jeff Zucker
    Jeff Zucker is an American media executive best known for serving as president and CEO of NBC Universal and later as president of CNN Worldwide.
  • E. Brian McCaskey
    Brian McCaskey is a member of the McCaskey family that owns the Chicago Bears and serves as an executive within the NFL franchise’s front office.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135879c988190bd35fa01674d6a15 completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:12 p.m.