Triple

T22753713
Position Surface form Disambiguated ID Type / Status
Subject Dick Tufeld E562776 entity
Predicate workedWith P398 FINISHED
Object Irwin Allen 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: Irwin Allen | Statement: [Dick Tufeld, workedWith, Irwin Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irwin Allen
Context triple: [Dick Tufeld, workedWith, Irwin Allen]
  • A. Irwin Allen chosen
    Irwin Allen was an American film and television producer and director, best known as the "Master of Disaster" for creating and producing popular 1970s disaster films and sci-fi TV series.
  • B. George E. Stoll
    George E. Stoll was an American composer and arranger best known for his work on numerous Hollywood film scores and musical soundtracks during the mid-20th century.
  • C. Bob Sharen
    Bob Sharen is an American comic book colorist best known for his extensive work with Marvel Comics from the 1970s through the 1990s.
  • D. Gerald Ayres
    Gerald Ayres was an American film producer and screenwriter known for his work on influential 1970s films, including collaborations with director Hal Ashby.
  • E. Richard Fleischer
    Richard Fleischer was an American film director known for a diverse body of work that included noir, science fiction, historical epics, and big-budget Hollywood adventures.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179bb80ac8190b53a1e00704c4ff5 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:25 p.m.