Triple

T14084538
Position Surface form Disambiguated ID Type / Status
Subject The Persian Gulf TV War E338956 entity
Predicate author P4 FINISHED
Object Douglas Kellner E67579 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: Douglas Kellner | Statement: [The Persian Gulf TV War, author, Douglas Kellner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Douglas Kellner
Context triple: [The Persian Gulf TV War, author, Douglas Kellner]
  • A. Douglas Kellner chosen
    Douglas Kellner is an American critical theorist and cultural studies scholar known for his analyses of media, technology, and contemporary society.
  • B. David Hoberman
    David Hoberman is an American film and television producer known for founding Mandeville Films and producing acclaimed movies such as "The Fighter."
  • C. Bryan Goluboff
    Bryan Goluboff is an American screenwriter and playwright best known for his work on the film adaptation of Jim Carroll’s memoir "The Basketball Diaries."
  • D. Philip Bruns
    Philip Bruns was an American character actor best known for his television and film roles in the 1970s and 1980s, including his work on the satirical soap opera "Mary Hartman, Mary Hartman."
  • E. Jeffrey Auerbach
    Jeffrey Auerbach is a film producer best known for his work on the stop-motion animated feature "Corpse Bride."
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5ede40048190b465e909565730c1 completed April 14, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd949b9fc481908c7717c412e05fac completed May 8, 2026, 7:45 a.m.
Created at: April 9, 2026, 10:21 p.m.