Triple

T8552024
Position Surface form Disambiguated ID Type / Status
Subject Hyper Neo Geo 64 E202465 entity
Predicate company P4120 FINISHED
Object SNK Corporation E202464 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: SNK Corporation | Statement: [Hyper Neo Geo 64, company, SNK Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SNK Corporation
Context triple: [Hyper Neo Geo 64, company, SNK Corporation]
  • A. SNK chosen
    SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
  • B. 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.
  • C. Capcom
    Capcom is a Japanese video game developer and publisher best known for creating major franchises such as Resident Evil, Street Fighter, and Monster Hunter.
  • D. 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.
  • E. CS Nippon
    CS Nippon is a Japanese satellite television channel affiliated with Nippon Television Network, offering a variety of entertainment and specialty programming.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe886fb788190a73e7c76c4f86409 completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc6a63488190a03d1f5e80ac28b4 completed April 2, 2026, 8:07 p.m.
Created at: March 30, 2026, 6:19 p.m.