Triple

T10234542
Position Surface form Disambiguated ID Type / Status
Subject Brundage E243427 entity
Predicate hasNotableBearer P458 FINISHED
Object Margaret Brundage E854632 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: Margaret Brundage | Statement: [Brundage, hasNotableBearer, Margaret Brundage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret Brundage
Context triple: [Brundage, hasNotableBearer, Margaret Brundage]
  • A. Margaret Brundage chosen
    Margaret Brundage was an American illustrator best known for her sensual, atmospheric fantasy and horror cover paintings for pulp magazines in the 1930s.
  • B. Margaret DeVogelaere
    Margaret DeVogelaere is best known as the third wife of American actor Peter Fonda, with whom she was married from 2011 until his death in 2019.
  • C. Margaret Rudkin
    Margaret Rudkin was an American businesswoman and food industry pioneer best known for building Pepperidge Farm from a home baking venture into a major commercial bakery brand.
  • D. Margaret Drinnan
    Margaret Drinnan was the wife of 19th-century Scottish golf champion Young Tom Morris.
  • E. Margaret Fink
    Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20cd8708190ba42752597d62008 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b78e7ec819093e5e631197ed295 completed May 2, 2026, 7:07 p.m.
Created at: April 6, 2026, 11:21 a.m.