Triple

T20060625
Position Surface form Disambiguated ID Type / Status
Subject Dominic Toretto's crew E499461 entity
Predicate alliesWith P435 FINISHED
Object Mr. Nobody 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: Mr. Nobody | Statement: [Dominic Toretto's crew, alliesWith, Mr. Nobody]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Nobody
Context triple: [Dominic Toretto's crew, alliesWith, Mr. Nobody]
  • A. Mr. Nobody
    Mr. Nobody is a 2009 science fiction drama film that explores alternate life paths and the nature of choice through the story of the last mortal man on Earth.
  • B. Mr. Nobody
    Mr. Nobody is a surreal, reality-warping supervillain in DC Comics known for his fragmented, abstract form and his role as a bizarre nemesis of the Doom Patrol.
  • C. Mr. Nobody chosen
    Mr. Nobody is a covert government operative and ally to Dominic Toretto’s crew in the Fast & Furious film franchise.
  • D. Miss Nobody
    Miss Nobody is a 2010 dark comedy crime film in which Leslie Bibb stars as an ambitious secretary whose accidental killing sets off a murderous climb up the corporate ladder.
  • E. Scrappy Little Nobody
    Scrappy Little Nobody is a humorous, candid collection of autobiographical essays by actress Anna Kendrick, reflecting on her unconventional path through childhood, Broadway, and Hollywood.
  • 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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66374f4a48190beb575a6c84ebdb4 completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.