Triple

T22889528
Position Surface form Disambiguated ID Type / Status
Subject The Bob's Burgers Movie E567696 entity
Predicate producer P490 FINISHED
Object Nora Smith 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: Nora Smith | Statement: [The Bob's Burgers Movie, producer, Nora Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nora Smith
Context triple: [The Bob's Burgers Movie, producer, Nora Smith]
  • A. Nora Smith chosen
    Nora Smith is a television writer and producer best known for co-creating the animated comedy series Central Park.
  • B. Nora Hayden
    Nora Hayden was an American actress and model active in the mid-20th century, known for her roles in film and television.
  • C. Nora Daley
    Nora Daley is the daughter of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley, known for her involvement in civic and cultural activities in the city.
  • D. Nina Smith
    Nina Smith is known as one of the children of American rapper and actor LL Cool J.
  • E. Nora Johnson
    Nora Johnson was an American novelist and screenwriter best known for her semi-autobiographical novel "The World of Henry Orient," which she co-adapted into a successful film.
  • 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_69e2458a92ec81908fc1cd5f6407d2ab completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17fc37a448190996e106aacc900f4 completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.