Triple

T8602790
Position Surface form Disambiguated ID Type / Status
Subject TurboGrafx-16 E203719 entity
Predicate developer P73 FINISHED
Object Hudson Soft E647470 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: Hudson Soft | Statement: [TurboGrafx-16, developer, Hudson Soft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hudson Soft
Context triple: [TurboGrafx-16, developer, Hudson Soft]
  • A. Hudson Soft chosen
    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.
  • B. 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.
  • 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. Umbrella Entertainment
    Umbrella Entertainment is an Australian home entertainment and film distribution company known for releasing cult, classic, and independent films on DVD, Blu-ray, and digital platforms.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46dc23448190a5eb63455578427e completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.