Triple

T11704752
Position Surface form Disambiguated ID Type / Status
Subject RollerCoaster Tycoon E278209 entity
Predicate publisher P29 FINISHED
Object Infogrames E914271 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: Infogrames | Statement: [RollerCoaster Tycoon, publisher, Infogrames]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Infogrames
Context triple: [RollerCoaster Tycoon, publisher, Infogrames]
  • A. Infogrames chosen
    Infogrames is a French video game company best known for its role as a major publisher and for later rebranding under the Atari name.
  • B. Namco Bandai Games
    Namco Bandai Games is a major Japanese video game publisher and developer known for franchises such as Tekken, Pac-Man, and the Tales series.
  • C. Konami
    Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
  • D. Vivendi Games
    Vivendi Games was a French video game publisher and holding company that owned studios like Blizzard Entertainment before merging with Activision to form Activision Blizzard.
  • E. Jaleco
    Jaleco was a Japanese video game company known for developing and publishing arcade and home console titles from the 1980s through the early 2000s.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49c8c38819083d83f5fdec52b7f completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.