Triple

T513417
Position Surface form Disambiguated ID Type / Status
Subject Red Auerbach E10653 entity
Predicate child P120 FINISHED
Object Nancy Auerbach E182031 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: Nancy Auerbach | Statement: [Red Auerbach, child, Nancy Auerbach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Auerbach
Context triple: [Red Auerbach, child, Nancy Auerbach]
  • A. Nancy Shevell
    Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
  • B. Dorothy Auerbach chosen
    Dorothy Auerbach was the wife of legendary Boston Celtics coach and executive Red Auerbach.
  • C. Ann Schmeltz Bowers
    Ann Schmeltz Bowers is an American technology executive and philanthropist known for her early leadership roles at Intel and Apple and for her significant charitable contributions, particularly in education and technology.
  • D. Annette Lerner
    Annette Lerner is a Washington, D.C.–area philanthropist and matriarch of the Lerner family, known for their real estate empire and former ownership of the Washington Nationals baseball team.
  • E. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1804e908190a1d34ac952e84a3f completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad5897c8488190b5266a04150f81de completed March 8, 2026, 11:08 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.