Triple

T2009546
Position Surface form Disambiguated ID Type / Status
Subject Linda McCartney E43659 entity
Predicate founded P104 FINISHED
Object Linda McCartney Foods E43659 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: Linda McCartney Foods | Statement: [Linda McCartney, founded, Linda McCartney Foods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda McCartney Foods
Context triple: [Linda McCartney, founded, Linda McCartney Foods]
  • A. Linda McCartney chosen
    Linda McCartney was an American photographer, animal rights activist, and musician best known as a member of Wings and for her marriage to former Beatle Paul McCartney.
  • B. Catherine Apple
    Catherine Apple is an editor known for her work on projects involving Luca.
  • C. L&M
    L&M is an international cigarette brand owned by Philip Morris, known for its mid-priced positioning in the global tobacco market.
  • D. Gala Brand
    Gala Brand is a fictional Special Branch officer and Bond girl who appears in Ian Fleming’s James Bond novel "Moonraker."
  • E. Thomas Farriner's bakery
    Thomas Farriner's bakery was the small Pudding Lane bakehouse in London where the Great Fire of 1666 is believed to have begun.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb89be08c81909eb5ea672ea46b2b completed March 7, 2026, 5:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae395a08190abf2077ad7a975ba completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.