Triple

T22968051
Position Surface form Disambiguated ID Type / Status
Subject Patrick Whitesell E571102 entity
Predicate boardMemberOf P10 FINISHED
Object WME 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: WME | Statement: [Patrick Whitesell, boardMemberOf, WME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WME
Context triple: [Patrick Whitesell, boardMemberOf, WME]
  • A. WME-IMG chosen
    WME-IMG is a global talent, sports, and media agency conglomerate formed from the merger of William Morris Endeavor and IMG, representing artists, athletes, and brands across entertainment and sports.
  • B. Roc Nation
    Roc Nation is an entertainment company and record label founded by Jay-Z that manages artists, produces music, and operates across sports, film, and other media ventures.
  • C. WEM
    WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
  • D. Warner Music Group
    Warner Music Group is a major global music entertainment company and record label conglomerate representing a wide range of internationally successful artists.
  • E. UMG
    UMG is the commonly used abbreviation for Gdynia Maritime University, a leading Polish institution specializing in maritime education and research.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182301f388190bb39e3d5b356dc65 completed April 29, 2026, 3:59 a.m.
Created at: April 17, 2026, 3:48 p.m.