Triple

T9996878
Position Surface form Disambiguated ID Type / Status
Subject Alan Tudyk E197222 entity
Predicate characterPortrayed P1507 FINISHED
Object Mr. Nobody E674809 NE FINISHED

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: [Alan Tudyk, characterPortrayed, Mr. Nobody]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. Nobody
Context triple: [Alan Tudyk, characterPortrayed, 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 chosen
    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
    Mr. Nobody is a covert government operative and ally to Dominic Toretto’s crew in the Fast & Furious film franchise.
  • D. 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.
  • E. Son of Rambow
    Son of Rambow is a British coming-of-age comedy film about two young boys in the 1980s who set out to make their own homemade action movie inspired by First Blood.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb9af6a88190942cc4991bd373c1 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2583bd6948190b15a97187e81d958 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:51 p.m.