Triple

T4374382
Position Surface form Disambiguated ID Type / Status
Subject Mr. Smith Goes to Washington E98969 entity
Predicate starring P1507 FINISHED
Object Harry Carey E276609 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: Harry Carey | Statement: [Mr. Smith Goes to Washington, starring, Harry Carey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Carey
Context triple: [Mr. Smith Goes to Washington, starring, Harry Carey]
  • A. Harry Carey chosen
    Harry Carey was an American actor best known as a pioneering star of early Western films and a prominent figure of the silent film era.
  • B. Harry Carey Jr.
    Harry Carey Jr. was an American character actor best known for his roles in classic Western films, particularly those directed by John Ford.
  • C. Dominique Caine
    Dominique Caine is one of the children of acclaimed British actor Michael Caine.
  • D. Seymour Cassel
    Seymour Cassel was an American character actor known for his longtime collaboration with director John Cassavetes and his roles in numerous independent and mainstream films.
  • E. Robert Joy
    Robert Joy is a Canadian actor best known for his character roles in film and television, including his work on the crime drama series CSI: NY.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35220fa648190b116e786783a7eba completed March 12, 2026, 11:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e512350081908da06038e3080a3e completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:17 p.m.