Triple

T13180464
Position Surface form Disambiguated ID Type / Status
Subject Ursula E313707 entity
Predicate isUsedBy P1480 FINISHED
Object Ursula Burns E79654 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: Ursula Burns | Statement: [Ursula, isUsedBy, Ursula Burns]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ursula Burns
Context triple: [Ursula, isUsedBy, Ursula Burns]
  • A. Ursula Burns chosen
    Ursula Burns is an American business executive best known for serving as CEO of Xerox, becoming the first Black woman to lead a Fortune 500 company.
  • B. Linda Gelsinger
    Linda Gelsinger is the wife of Intel CEO Pat Gelsinger and is known for her involvement in Christian ministry and family-focused activities alongside her husband.
  • C. Peggy Knudsen
    Peggy Knudsen was an American film and television actress active in the 1940s and 1950s, often appearing in dramas and crime films.
  • D. Jo Ann Kelleher
    Jo Ann Kelleher is best known as the wife of Herb Kelleher, the co-founder and longtime CEO of Southwest Airlines.
  • E. Gail Helfrich
    Gail Helfrich is known as the wife of American football coach Mark Helfrich, who notably served as head coach of the University of Oregon Ducks.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ee66188190afb75a598a2f8211 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.