Triple

T5352750
Position Surface form Disambiguated ID Type / Status
Subject Pocketful of Miracles E102615 entity
Predicate starring P1507 FINISHED
Object Glenn Ford E250405 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: Glenn Ford | Statement: [Pocketful of Miracles, starring, Glenn Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenn Ford
Context triple: [Pocketful of Miracles, starring, Glenn Ford]
  • A. Glenn Ford chosen
    Glenn Ford was a Canadian-American film actor renowned for his versatile performances in classic Hollywood movies such as "Gilda," "The Big Heat," and "Blackboard Jungle."
  • B. Richard Widmark
    Richard Widmark was an American film and television actor renowned for his intense portrayals in film noir and Westerns, particularly during Hollywood’s mid-20th-century era.
  • C. Alan Ladd
    Alan Ladd was an American film actor best known for his cool, understated performances in classic movies such as the Western "Shane."
  • D. Dana Andrews
    Dana Andrews was a prominent American film actor of the 1940s and 1950s, best known for his leading roles in classics such as "Laura" and "The Best Years of Our Lives."
  • E. Edmond O'Brien
    Edmond O'Brien was an American character actor and Academy Award winner known for his intense, hard-boiled performances in film noir and classic Hollywood dramas.
  • 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd861327288190b3f2720ce81e0de6 completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65f9d763c81908bdc6d9cfc718a55 completed March 27, 2026, 10:44 a.m.
Created at: March 20, 2026, 2:01 p.m.