Triple

T12730691
Position Surface form Disambiguated ID Type / Status
Subject Glen Schofield E304227 entity
Predicate employer P7 FINISHED
Object Electronic Arts E241426 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: Electronic Arts | Statement: [Glen Schofield, employer, Electronic Arts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Electronic Arts
Context triple: [Glen Schofield, employer, Electronic Arts]
  • A. Electronic Arts chosen
    Electronic Arts is a major American video game company best known for publishing popular franchises such as FIFA, Madden NFL, Battlefield, and The Sims.
  • B. Activision Blizzard
    Activision Blizzard is a major American video game holding company known for franchises such as Call of Duty, World of Warcraft, and Overwatch.
  • C. Activision Publishing
    Activision Publishing is a major American video game publisher best known for franchises like Call of Duty, Crash Bandicoot, and Tony Hawk’s Pro Skater.
  • D. Bethesda Softworks
    Bethesda Softworks is a prominent American video game publisher and developer best known for franchises like The Elder Scrolls and Fallout.
  • E. Take-Two Interactive
    Take-Two Interactive is a major American video game publisher known for franchises like Grand Theft Auto, Red Dead Redemption, and NBA 2K.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96467a2248190aff1ebb5db84b3c6 completed April 10, 2026, 8:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c8a4b7c8190a514b623a7364fd7 completed May 2, 2026, 10:36 p.m.
Created at: April 9, 2026, 5:25 p.m.