Triple

T18589809
Position Surface form Disambiguated ID Type / Status
Subject Anthony Franciosa E454333 entity
Predicate awardNominationForWork P25539 FINISHED
Object A Hatful of Rain 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: A Hatful of Rain | Statement: [Anthony Franciosa, awardNominationForWork, A Hatful of Rain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A Hatful of Rain
Context triple: [Anthony Franciosa, awardNominationForWork, A Hatful of Rain]
  • A. A Hatful of Rain chosen
    A Hatful of Rain is a 1957 American drama film that explores the impact of drug addiction on a young Korean War veteran and his family.
  • B. Rainy Night in Soho
    "Rainy Night in Soho" is a melancholic, romantic ballad by The Pogues that has become one of their most beloved and enduring songs.
  • C. Nine O'Clock Gun
    The Nine O'Clock Gun is a historic naval cannon in Vancouver that is fired nightly as a time signal and popular local tradition.
  • D. Trespasses
    "Trespasses" is a song featured on the album "Trampin'" by Patti Smith.
  • E. The Limey
    The Limey is a 1999 neo-noir crime film directed by Steven Soderbergh, starring Terence Stamp as a vengeful ex-con seeking justice for his daughter's death in Los Angeles.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e545b4a2a0819098047ee81278bd9d completed April 19, 2026, 9:14 p.m.
Created at: April 10, 2026, 11:44 a.m.