Triple

T4750691
Position Surface form Disambiguated ID Type / Status
Subject The Losers (2010 film) E105469 entity
Predicate musicBy P1952 FINISHED
Object David Buckley E214397 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: David Buckley | Statement: [The Losers (2010 film), musicBy, David Buckley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Buckley
Context triple: [The Losers (2010 film), musicBy, David Buckley]
  • A. David Buckley chosen
    David Buckley is a British film and television composer known for scoring numerous Hollywood productions, including action and thriller films.
  • B. Richard Buckley
    Richard Buckley was an American fashion journalist and editor, best known for his long career at magazines like Vogue and Vanity Fair and his decades-long partnership with designer Tom Ford.
  • C. James Buckley
    James Buckley is an English actor and comedian best known for playing Jay Cartwright in the British sitcom "The Inbetweeners."
  • D. Martin Boddey
    Martin Boddey was a British character actor known for his frequent supporting roles in mid-20th-century films and television, often portraying authority figures such as policemen and officials.
  • E. David Baulcombe
    David Baulcombe is a British plant scientist renowned for his pioneering work on RNA silencing and gene regulation in plants.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64c83af48190bd57be79c1505e9d completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0c5ef848190a19eb01622ade42a completed March 21, 2026, 2:52 p.m.
Created at: March 20, 2026, 1:20 p.m.