Triple

T2495787
Position Surface form Disambiguated ID Type / Status
Subject Toys for Bob E52149 entity
Predicate parentCompany 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: [Toys for Bob, parentCompany, Activision]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Activision
Context triple: [Toys for Bob, parentCompany, 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_69ab4955111c8190835bf619adec21ff completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1abd3688190b5874249e1e333bc completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69b1f84f2c5c819084c82bfbd6a3b6f0 completed March 11, 2026, 11:18 p.m.
Created at: March 6, 2026, 9:45 p.m.