Triple

T23455798
Position Surface form Disambiguated ID Type / Status
Subject Thomas Shoyama E567918 entity
Predicate name P16 FINISHED
Object Thomas Kunito Shoyama 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: Thomas Kunito Shoyama | Statement: [Thomas Shoyama, name, Thomas Kunito Shoyama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Kunito Shoyama
Context triple: [Thomas Shoyama, name, Thomas Kunito Shoyama]
  • A. Thomas Shoyama chosen
    Thomas Shoyama was a prominent Canadian public servant and policy expert, widely recognized as a key architect of modern Canadian social policy and public administration.
  • B. Bill Hosokawa
    Bill Hosokawa was a Japanese American journalist and author known for chronicling the experiences of Japanese Americans, including those incarcerated during World War II.
  • C. Frank Tuttle
    Frank Tuttle was a film editor known for his work on early 20th-century cinema, including the classic film "Shanghai Express."
  • D. Frank Tuttle
    Frank Tuttle was an American film director best known for his work in early Hollywood cinema, including influential crime and noir films such as "This Gun for Hire."
  • E. Ron Komie
    Ron Komie is a composer best known for creating high-energy, guitar-driven theme and production music widely used in sports broadcasting and television, including for NFL on Fox.
  • 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_69e2458b4c888190b1d7998f9862a558 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a696e6c48190a7159292cfe3362f completed April 29, 2026, 6:35 a.m.
Created at: April 17, 2026, 5:53 p.m.