Triple

T20995010
Position Surface form Disambiguated ID Type / Status
Subject The Truth About Cats & Dogs E517123 entity
Predicate editedBy P1954 FINISHED
Object Martin Walsh 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: Martin Walsh | Statement: [The Truth About Cats & Dogs, editedBy, Martin Walsh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin Walsh
Context triple: [The Truth About Cats & Dogs, editedBy, Martin Walsh]
  • A. Martin Walsh
    Martin Walsh is an author best known for writing the work titled "The Warrior."
  • B. 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."
  • C. Marty Walsh
    Marty Walsh is an American politician and labor leader who served as mayor of Boston and later as U.S. Secretary of Labor under President Joe Biden.
  • D. Albert Wynn
    Albert Wynn is an American politician and former Democratic U.S. Representative from Maryland who served in Congress from the early 1990s until his primary defeat by Donna Edwards.
  • E. Bill Rago
    Bill Rago is a down-on-his-luck advertising executive who becomes an unconventional teacher for a group of underachieving Army recruits in the film "Renaissance Man."
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1e75188190a97114238ea0b4f9 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.