Triple

T10908993
Position Surface form Disambiguated ID Type / Status
Subject Anne Mulcahy E257643 entity
Predicate name P16 FINISHED
Object Anne Mulcahy E257643 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: Anne Mulcahy | Statement: [Anne Mulcahy, name, Anne Mulcahy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Mulcahy
Context triple: [Anne Mulcahy, name, Anne Mulcahy]
  • A. Anne Mulcahy chosen
    Anne Mulcahy is an American business executive best known for leading Xerox Corporation’s turnaround as its CEO and chairwoman in the early 2000s.
  • B. Ginni Rometty
    Ginni Rometty is an American business executive best known for serving as the first female CEO of IBM, where she led the company’s strategic shift toward cloud computing and artificial intelligence.
  • C. Patty McCord
    Patty McCord is a human resources executive and author best known as Netflix’s former Chief Talent Officer and co-creator of its influential “culture deck” on freedom and responsibility.
  • D. 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.
  • E. Raj K. Nooyi
    Raj K. Nooyi is best known as the husband of former PepsiCo CEO Indra Nooyi and is a management consultant by profession.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706824d08190ba894d144cc6b3ba completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e1554fc61c8190a0354e2f24cb62e4 completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.