Triple

T21991855
Position Surface form Disambiguated ID Type / Status
Subject One Day E543108 entity
Predicate editor P1954 FINISHED
Object Barney Pilling 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: Barney Pilling | Statement: [One Day, editor, Barney Pilling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barney Pilling
Context triple: [One Day, editor, Barney Pilling]
  • A. Barney Pilling chosen
    Barney Pilling is a British film editor known for his work on acclaimed films such as "The Grand Budapest Hotel."
  • B. Barney Glasgow
    Barney Glasgow is the ambitious lumberman protagonist of the 1936 film "Come and Get It," whose ruthless pursuit of success and complicated romantic entanglements drive the story’s central drama.
  • C. Barry Jones
    Barry Jones was a British character actor known for his distinguished stage and film career in the mid-20th century, often portraying scholarly or aristocratic figures.
  • D. Barry Judd
    Barry Judd is a sarcastic, music-obsessed record store employee and friend of the protagonist in the film "High Fidelity."
  • E. Bob Barlen
    Bob Barlen is a Canadian screenwriter and producer known for his work on animated family films such as PAW Patrol: The Movie and The Nut Job 2: Nutty by Nature.
  • 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_69e0c48136b081908831fa907cc02e18 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1270e951081908deda039b47ca84b completed April 28, 2026, 9:30 p.m.
Created at: April 16, 2026, 8:05 p.m.