Triple

T2423941
Position Surface form Disambiguated ID Type / Status
Subject Beenox E53481 entity
Predicate parentOrganization P254 FINISHED
Object Activision E9539 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: Activision | Statement: [Beenox, parentOrganization, Activision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Activision
Context triple: [Beenox, parentOrganization, Activision]
  • A. 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.
  • B. Activision Blizzard chosen
    Activision Blizzard is a major American video game holding company known for franchises such as Call of Duty, World of Warcraft, and Overwatch.
  • C. Midway Games
    Midway Games was an American video game company best known for publishing and developing popular arcade and console titles such as the Mortal Kombat series.
  • D. Electronic Arts
    Electronic Arts is a major American video game company best known for publishing popular franchises such as FIFA, Madden NFL, Battlefield, and The Sims.
  • E. Bethesda Softworks
    Bethesda Softworks is a prominent American video game publisher and developer best known for franchises like The Elder Scrolls and Fallout.
  • 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_69ab495c44d48190b7235b23719bc3f6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc973aee08190b543492f436f3fe5 completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7f0738819091d06a7279f45d61 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:42 p.m.