Triple

T20191743
Position Surface form Disambiguated ID Type / Status
Subject Byleth E492992 entity
Predicate gameDeveloper P35248 FINISHED
Object Koei Tecmo 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: Koei Tecmo | Statement: [Byleth, gameDeveloper, Koei Tecmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koei Tecmo
Context triple: [Byleth, gameDeveloper, Koei Tecmo]
  • A. Koei Tecmo chosen
    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.
  • B. Nippon Koei
    Nippon Koei is a major Japanese engineering consulting firm known for its infrastructure and civil engineering projects worldwide.
  • 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. 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.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad593f88190a1e534fed38b3cd7 completed April 20, 2026, 6:05 p.m.
Created at: April 11, 2026, 11:37 p.m.