Triple

T9394660
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Cage as Donald Kaufman E226112 entity
Predicate characterName P36851 FINISHED
Object Donald Kaufman E239969 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: Donald Kaufman | Statement: [Nicolas Cage as Donald Kaufman, characterName, Donald Kaufman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donald Kaufman
Context triple: [Nicolas Cage as Donald Kaufman, characterName, Donald Kaufman]
  • A. Donald Kaufman chosen
    Donald Kaufman is a fictional twin brother of screenwriter Charlie Kaufman, created as a meta-character and co-protagonist in the film "Adaptation."
  • B. Bob Kaufman
    Bob Kaufman was an influential American Beat and jazz poet known for his surreal, improvisational style and his role in the mid-20th-century San Francisco literary scene.
  • C. Edward Kaufman
    Edward Kaufman was an American screenwriter best known for his work on classic Hollywood films, including the 1934 musical comedy "The Gay Divorcee."
  • D. Arthur Klein
    Arthur Klein was the husband of pioneering psychoanalyst Melanie Klein, known primarily in relation to her life and work.
  • E. Carl Shulman
    Carl Shulman is a researcher and thinker known for his work on existential risk, AI alignment, and long-term future strategy, particularly through his role at Oxford’s Future of Humanity Institute.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd511150008190be04142e477e8bf1 completed April 1, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1010ffcd4819088edafbdb43c2c00 completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:45 p.m.