Triple

T19593412
Position Surface form Disambiguated ID Type / Status
Subject The Devil’s Own E470291 entity
Predicate director P255 FINISHED
Object Alan J. Pakula 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: Alan J. Pakula | Statement: [The Devil’s Own, director, Alan J. Pakula]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alan J. Pakula
Context triple: [The Devil’s Own, director, Alan J. Pakula]
  • A. Alan J. Pakula chosen
    Alan J. Pakula was an American film director, producer, and screenwriter best known for his politically charged thrillers and character-driven dramas of the 1970s and 1980s.
  • B. Tom Benedek
    Tom Benedek is an American screenwriter best known for co-writing the science fiction film "Cocoon."
  • C. Ken Hughes
    Ken Hughes was a British film director and screenwriter best known for directing the 1968 musical fantasy film "Chitty Chitty Bang Bang."
  • D. Dan Friedkin
    Dan Friedkin is an American billionaire businessman, film producer, and owner of the Italian football club AS Roma, known for producing acclaimed films such as "Killers of the Flower Moon."
  • E. Arthur Hiller
    Arthur Hiller was a Canadian-born film director best known for popular Hollywood movies such as "Love Story" and "The In-Laws."
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.