Triple

T23018564
Position Surface form Disambiguated ID Type / Status
Subject Hold Back the Night E573101 entity
Predicate authorOfSourceWork P2353 FINISHED
Object Pat Frank 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: Pat Frank | Statement: [Hold Back the Night, authorOfSourceWork, Pat Frank]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Frank
Context triple: [Hold Back the Night, authorOfSourceWork, Pat Frank]
  • A. Pat Frank chosen
    Pat Frank was an American novelist and journalist best known for his Cold War-era apocalyptic novel "Alas, Babylon."
  • B. Paul Graff
    Paul Graff is the young Jewish-American boy at the center of the coming-of-age drama "Armageddon Time," whose experiences reflect themes of family, privilege, and racial injustice in 1980s Queens.
  • C. Samuel Fisk
    Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
  • D. Edward Griffin
    Edward Griffin is an American stand-up comedian and actor best known for his energetic performances in films like "Undercover Brother" and his numerous comedy specials.
  • E. Mark Helprin
    Mark Helprin is an American novelist and short story writer known for his richly imaginative, lyrical fiction, including the novel "Winter's Tale."
  • 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_69e245b764cc8190a51be76f1d9611e1 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183e64a4c8190b8d29ed638c7fef8 completed April 29, 2026, 4:07 a.m.
Created at: April 17, 2026, 3:52 p.m.