Triple

T20551160
Position Surface form Disambiguated ID Type / Status
Subject TT Games E504599 entity
Predicate owns P347 FINISHED
Object TT Games Publishing E504599 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: TT Games Publishing | Statement: [TT Games, owns, TT Games Publishing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TT Games Publishing
Context triple: [TT Games, owns, TT Games Publishing]
  • A. TT Games chosen
    TT Games is a British video game developer best known for creating the popular series of LEGO-themed action-adventure games.
  • B. Torch Games
    Torch Games is a built-in casual gaming platform within the Torch web browser that lets users play games directly from the browser interface.
  • C. Titan Entertainment Group
    Titan Entertainment Group is a British media company best known for publishing comics, graphic novels, and related pop culture content through its Titan Comics imprint.
  • D. Infogrames
    Infogrames is a French video game company best known for its role as a major publisher and for later rebranding under the Atari name.
  • E. Typhoon Studios
    Typhoon Studios was a Canadian video game development company best known for creating the colorful sci-fi adventure game "Journey to the Savage Planet."
  • 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_69e0b4b52c048190952b4d0f430813a3 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a5d8b55081909c3e3e972aff846d completed April 20, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08a57192d48190a83d509da5712f98 completed May 16, 2026, 5:12 p.m.
Created at: April 16, 2026, 11:38 a.m.