Triple

T1552558
Position Surface form Disambiguated ID Type / Status
Subject General Motors board of directors E33125 entity
Predicate employer P7 FINISHED
Object Mary Barra E2752 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: Mary Barra | Statement: [General Motors board of directors, employer, Mary Barra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Barra
Context triple: [General Motors board of directors, employer, Mary Barra]
  • A. Mary Barra chosen
    Mary Barra is an American business executive who became the first female CEO of a major global automaker when she took the helm of General Motors.
  • B. Jim Farley
    Jim Farley is an American business executive who serves as the president and chief executive officer of Ford Motor Company.
  • C. Ursula Burns
    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.
  • D. William Clay Ford Jr.
    William Clay Ford Jr. is an American businessman and great-grandson of Henry Ford who has served as executive chairman of Ford Motor Company and is known for promoting sustainability and innovation within the company.
  • E. Indra Nooyi
    Indra Nooyi is an Indian-American business executive best known for serving as the influential former CEO and chairperson of PepsiCo.
  • 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_69a885ee6db8819099502bc5ce8af881 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9086aed94819085c8194b4127c278 completed March 5, 2026, 4:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad30a504a881909b01fc27e0b879e7 completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.