Triple

T20573151
Position Surface form Disambiguated ID Type / Status
Subject LEGO video games E505151 entity
Predicate publisher P29 FINISHED
Object Capcom NE NERFINISHED

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: Capcom | Statement: [LEGO video games, publisher, Capcom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capcom
Context triple: [LEGO video games, publisher, Capcom]
  • A. Capcom chosen
    Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
  • B. CAPCOM
    CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
  • 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. Koei Tecmo
    Koei Tecmo is a Japanese video game company known for developing and publishing action and role-playing titles, including the Dynasty Warriors series and various licensed collaborations.
  • E. Toie
    Toie is a given name, often used as a short or informal form of the name Toie Roberts.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a906f0508190ac698233738f4452 completed April 20, 2026, 10:30 p.m.
Created at: April 16, 2026, 11:39 a.m.