Triple

T7280234
Position Surface form Disambiguated ID Type / Status
Subject William Strahan E163127 entity
Predicate businessPartner P282 FINISHED
Object Andrew Millar E144802 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: Andrew Millar | Statement: [William Strahan, businessPartner, Andrew Millar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Millar
Context triple: [William Strahan, businessPartner, Andrew Millar]
  • A. Andrew Millar chosen
    Andrew Millar was an 18th-century Scottish-born London bookseller and publisher known for issuing major works of Enlightenment authors, including David Hume.
  • B. Francis McAvennie
    Francis McAvennie is a former Scottish professional footballer best known as a prolific striker for clubs such as West Ham United and Celtic during the 1980s.
  • C. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • D. Andy MacMillan
    Andy MacMillan was a prominent Scottish architect known for his influential modernist church and public building designs in the mid-20th century.
  • E. Daniel Millar
    Daniel Millar is an actor known for his role in the National Theatre’s acclaimed stage production of "Frankenstein."
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb339b1081909f648864e210f98e completed March 27, 2026, 8:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69c810bb0d808190b6ade5592fce2c15 completed March 28, 2026, 5:32 p.m.
Created at: March 27, 2026, 2:59 p.m.