Triple

T22273038
Position Surface form Disambiguated ID Type / Status
Subject Faizon Love E550526 entity
Predicate notableWork P4 FINISHED
Object Torque 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: Torque | Statement: [Faizon Love, notableWork, Torque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torque
Context triple: [Faizon Love, notableWork, Torque]
  • A. Torque chosen
    Torque is a 2004 American action film directed by Joseph Kahn that centers on high-speed motorcycle gangs, stylized stunts, and over-the-top visual flair.
  • B. Torque
    Torque is a Uruguayan professional football club, officially known as Club Atlético Torque, that competes in the country’s league system.
  • C. Traction
    Traction is the common nickname for the Citroën Traction Avant, a pioneering French automobile famous for its early use of front-wheel drive and unitary body construction.
  • D. Thrust
    Thrust is a jazz-funk album by The Headhunters, led by Herbie Hancock, known for its innovative fusion of funk grooves and electric jazz.
  • E. Thrust
    Thrust is a C++ template library for CUDA that provides high-level parallel algorithms and data structures to simplify GPU programming.
  • 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_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea547e4819098baf88f3c605242 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.