Triple

T19843769
Position Surface form Disambiguated ID Type / Status
Subject David Dayan Fisher E476802 entity
Predicate workedWith P398 FINISHED
Object Square Enix 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: Square Enix | Statement: [David Dayan Fisher, workedWith, Square Enix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Square Enix
Context triple: [David Dayan Fisher, workedWith, Square Enix]
  • A. Square Enix chosen
    Square Enix is a major Japanese video game and entertainment company best known for creating and publishing popular role-playing game franchises such as Final Fantasy and Dragon Quest.
  • B. Monolith Soft
    Monolith Soft is a Japanese video game developer best known for creating large-scale role-playing games, particularly the Xenoblade Chronicles series.
  • C. Atlus
    Atlus is a Japanese video game developer and publisher best known for creating the Shin Megami Tensei and Persona role-playing game series.
  • D. Sony Computer Entertainment
    Sony Computer Entertainment is the former name of Sony’s video game division responsible for developing and publishing PlayStation hardware, software, and exclusive titles.
  • E. Sony Development
    Sony Development is a division of Sony responsible for planning and creating large-scale entertainment and retail projects.
  • 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_69d8e51d39d081909bcfafeaaf3d2fcc completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65806ea888190850421154238d91c completed April 20, 2026, 4:44 p.m.
Created at: April 10, 2026, 1:51 p.m.