Triple

T2352468
Position Surface form Disambiguated ID Type / Status
Subject Cinderella (2015 film) E47478 entity
Predicate editedBy P1954 FINISHED
Object Martin Walsh E49508 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: Martin Walsh | Statement: [Cinderella (2015 film), editedBy, Martin Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Walsh
Context triple: [Cinderella (2015 film), editedBy, Martin Walsh]
  • A. Martin Walsh chosen
    Martin Walsh is a British film editor known for his work on major films including "Bridget Jones’s Diary" and the Academy Award-winning "Chicago."
  • B. John Hynes
    John Hynes is an American professional ice hockey coach who serves as the head coach of the NHL’s Minnesota Wild and is known for his previous coaching stints with the New Jersey Devils and Nashville Predators.
  • C. Martin Hynes
    Martin Hynes is an American screenwriter and filmmaker best known for co-writing the story for Pixar’s animated film "Toy Story 4."
  • D. Kwame Kilpatrick
    Kwame Kilpatrick is a former mayor of Detroit who became widely known for his corruption scandal, criminal convictions, and subsequent imprisonment.
  • E. Muriel Bowser
    Muriel Bowser is an American politician serving as the mayor of Washington, D.C., known for her leadership on urban development, public safety, and local autonomy issues in the nation’s capital.
  • 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_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f8ff548190b07505310e2bf0b9 completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea888b5a881909b1f91562957388d completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:54 p.m.