Triple

T19386751
Position Surface form Disambiguated ID Type / Status
Subject Women Talking E484955 entity
Predicate editor P1954 FINISHED
Object Christopher Donaldson 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: Christopher Donaldson | Statement: [Women Talking, editor, Christopher Donaldson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Donaldson
Context triple: [Women Talking, editor, Christopher Donaldson]
  • A. Christopher Donaldson chosen
    Christopher Donaldson is a film editor known for his work on David Cronenberg’s 2022 science fiction body horror film "Crimes of the Future."
  • B. David Scearce
    David Scearce is a Canadian screenwriter best known for adapting Christopher Isherwood’s novel into the acclaimed film "A Single Man."
  • C. Dave Dorman
    Dave Dorman is an American illustrator best known for his detailed and dynamic science fiction and fantasy artwork, particularly his Star Wars paintings and comic book covers.
  • D. Christopher De Vore
    Christopher De Vore is an American screenwriter best known for co-writing the acclaimed 1980 film "The Elephant Man."
  • E. Steven Dillingham
    Steven Dillingham is an American government official who served as Director of the U.S. Census Bureau during the 2020 United States census.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b40d1148190b4fcd9ad56aa6910 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.