Triple

T20807096
Position Surface form Disambiguated ID Type / Status
Subject Finishing the Game E512191 entity
Predicate stars P1956 FINISHED
Object Brian Tee 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: Brian Tee | Statement: [Finishing the Game, stars, Brian Tee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Tee
Context triple: [Finishing the Game, stars, Brian Tee]
  • A. Brian Tee chosen
    Brian Tee is an American actor best known for his roles in action films and television series, including portraying the Yakuza leader DK in "The Fast and the Furious: Tokyo Drift."
  • B. Gary Anthony Williams
    Gary Anthony Williams is an American actor and comedian best known for his prolific voice work in animation and video games, as well as appearances in television and film.
  • C. Ray J
    Ray J is an American R&B singer, songwriter, actor, and television personality known for his music career, reality TV appearances, and high-profile relationships.
  • D. Michael Geste
    Michael Geste is the fictional protagonist of P. C. Wren’s adventure novel "Beau Geste," famed for his honor, bravery, and service in the French Foreign Legion.
  • E. Dee Jay Mathis
    Dee Jay Mathis is an American woman best known for being the first wife of actor James Caan.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
Created at: April 16, 2026, 12:40 p.m.