Triple

T6183843
Position Surface form Disambiguated ID Type / Status
Subject A Letter to Three Wives E138007 entity
Predicate producer P490 FINISHED
Object Sol C. Siegel E64842 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: Sol C. Siegel | Statement: [A Letter to Three Wives, producer, Sol C. Siegel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sol C. Siegel
Context triple: [A Letter to Three Wives, producer, Sol C. Siegel]
  • A. Sol C. Siegel chosen
    Sol C. Siegel was an American film producer known for overseeing numerous major Hollywood productions from the 1940s through the 1960s.
  • B. J. David Siegel
    J. David Siegel is a film editor known for his work on major animated features, including the superhero comedy "DC League of Super-Pets."
  • C. Steven Fierberg
    Steven Fierberg is an American cinematographer known for his work on feature films and television series, including the romantic drama "Love & Other Drugs."
  • D. William Sheinberg
    William Sheinberg is known primarily as the son of influential Hollywood executive Sidney Sheinberg.
  • E. Douglas Segal
    Douglas Segal is a film producer best known for his work on the action-comedy movie "Bulletproof Monk."
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7eeb127248190bbee7a9f69c2b980 completed March 28, 2026, 3:07 p.m.
Created at: March 22, 2026, 4:19 p.m.