Triple

T10089795
Position Surface form Disambiguated ID Type / Status
Subject Curt Siodmak E215312 entity
Predicate name P16 FINISHED
Object Curt Siodmak E215312 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: Curt Siodmak | Statement: [Curt Siodmak, name, Curt Siodmak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Curt Siodmak
Context triple: [Curt Siodmak, name, Curt Siodmak]
  • A. Curt Siodmak chosen
    Curt Siodmak was a German-American novelist and screenwriter best known for his influential work in horror and science fiction films, including classic Universal monster movies.
  • B. Cornell Woolrich
    Cornell Woolrich was an American crime and suspense writer, often called the "father of noir fiction," whose dark, psychologically driven stories inspired numerous classic films.
  • C. Charles Beaumont
    Charles Beaumont was an American writer best known for his influential and often macabre scripts for the television series The Twilight Zone.
  • D. Lawrence Turman
    Lawrence Turman is an American film producer best known for his work on influential Hollywood films and for his long career shaping and mentoring talent in the movie industry.
  • E. Edward Dmytryk
    Edward Dmytryk was a prominent American film director and editor, best known as one of the Hollywood Ten and for directing classic films such as "Murder, My Sweet" and "The Caine Mutiny."
  • 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_69ca83a1eed081908b2e9580f2ebeea7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd05960008190baecb8e4c9f2461f completed April 2, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b69cd26c8190bf4b488377dc0ce1 completed April 5, 2026, 7:23 p.m.
Created at: March 30, 2026, 9:01 p.m.