Triple

T5159776
Position Surface form Disambiguated ID Type / Status
Subject Intruder in the Dust E116407 entity
Predicate editor P1954 FINISHED
Object John Dunning E99437 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: John Dunning | Statement: [Intruder in the Dust, editor, John Dunning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Dunning
Context triple: [Intruder in the Dust, editor, John Dunning]
  • A. John D. Dunning chosen
    John D. Dunning was an American film editor best known for his work on classic Hollywood films, including collaborations with major studios during the mid-20th century.
  • B. Jeffrey S. Mearns
    Jeffrey S. Mearns is an American academic leader and attorney who serves as the president of Ball State University in Indiana.
  • C. Ben Rothwell
    Ben Rothwell is an American mixed martial artist and longtime UFC heavyweight veteran known for his knockout power and unorthodox personality.
  • D. David Duffield
    David Duffield is an American billionaire entrepreneur and philanthropist best known for founding the enterprise software companies PeopleSoft and Workday.
  • E. Brian Fawcett
    Brian Fawcett was the son of British explorer Percy Fawcett, known mainly for his connection to his father's legendary Amazon expeditions and disappearance.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd790613bc819084765cd4ea648dc9 completed March 20, 2026, 4:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06a74d4c8190a353007c564ba2f6 completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:44 p.m.