Triple

T8413315
Position Surface form Disambiguated ID Type / Status
Subject Human68k E198673 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: [Human68k, developer, Hudson Soft]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hudson Soft
Context triple: [Human68k, 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. 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. 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.
  • D. Coktel Vision
    Coktel Vision was a French video game developer and publisher best known for its educational and adventure games in the 1980s and 1990s, including the Adibou/Adi series and Gobliiins.
  • E. Midway Games
    Midway Games was an American video game company best known for publishing and developing popular arcade and console titles such as the Mortal Kombat series.
  • 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_69ca831201b481909e137936ef99ff11 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cb83e18e7c8190a30b14136dee3d93 completed March 31, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce032a25ec819094c6346eb2a7f973 completed April 2, 2026, 5:48 a.m.
Created at: March 30, 2026, 6:06 p.m.