Triple

T11705197
Position Surface form Disambiguated ID Type / Status
Subject Gran Turismo E278220 entity
Predicate developer P73 FINISHED
Object Polyphony Digital E890329 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: Polyphony Digital | Statement: [Gran Turismo, developer, Polyphony Digital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Polyphony Digital
Context triple: [Gran Turismo, developer, Polyphony Digital]
  • A. Polyphony Digital chosen
    Polyphony Digital is a Japanese video game development studio best known for creating the Gran Turismo racing simulation series for PlayStation consoles.
  • B. Hudson Soft
    Hudson Soft was a Japanese video game company best known for creating popular franchises like Bomberman and co-developing early entries in the Mario Party 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. Atlus
    Atlus is a Japanese video game developer and publisher best known for creating the Shin Megami Tensei and Persona role-playing game series.
  • E. Scorpio Studios
    Scorpio Studios was a London-based recording studio known for hosting sessions by prominent rock bands in the 1970s.
  • 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.