Triple

T450169
Position Surface form Disambiguated ID Type / Status
Subject The Black Pirate E7108 entity
Predicate musicBy P1952 FINISHED
Object Mortimer Wilson E75165 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: Mortimer Wilson | Statement: [The Black Pirate, musicBy, Mortimer Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mortimer Wilson
Context triple: [The Black Pirate, musicBy, Mortimer Wilson]
  • A. Mortimer Wilson chosen
    Mortimer Wilson was an American composer and music educator best known for his orchestral scores for early silent films and concert works in the early 20th century.
  • B. Horace Tabberer Brown
    Horace Tabberer Brown was a prominent British brewing chemist and researcher known for his pioneering work in fermentation science and the chemistry of beer.
  • C. Lloyd Bryce
    Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
  • D. Harold Briggs
    Harold Briggs was a British Army officer best known for devising and implementing the Briggs Plan to combat communist insurgency during the Malayan Emergency.
  • E. Ralph Dawson
    Ralph Dawson was an American film editor known for his work on numerous Hollywood productions during the early 20th century.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef691cc8819091729eaac52c9457 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad012ce1148190b1051239a44171b1 completed March 8, 2026, 4:55 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.