Triple

T20427162
Position Surface form Disambiguated ID Type / Status
Subject The White Countess E501035 entity
Predicate editor P1954 FINISHED
Object John David Allen 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: John David Allen | Statement: [The White Countess, editor, John David Allen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John David Allen
Context triple: [The White Countess, editor, John David Allen]
  • A. John David Allen chosen
    John David Allen is a film editor known for his work on the movie "Le Divorce."
  • B. John Jeffrey
    John Jeffrey was a 19th-century Scottish botanist and plant collector known for his explorations in western North America, where he documented and introduced numerous conifer species.
  • C. Patrick Linton Allen
    Patrick Linton Allen is a Jamaican educator and public figure who serves as the country's Governor-General, representing the British monarch as head of state.
  • D. Eric Allen
    Eric Allen is a musician best known as a member of the punk rock band F.Y.P (Five Year Plan).
  • E. Daniel Allen Campbell
    Daniel Allen Campbell is an American football coach and former tight end best known as the head coach of the Detroit Lions in the NFL.
  • 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_69e0b4aa68fc8190b1a14c55575ef04a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67ba9700481909fa23493f98095d1 completed April 20, 2026, 7:16 p.m.
Created at: April 16, 2026, 11:30 a.m.