Triple

T2962881
Position Surface form Disambiguated ID Type / Status
Subject Indra Nooyi E80088 entity
Predicate name P16 FINISHED
Object Indra Nooyi E80088 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: Indra Nooyi | Statement: [Indra Nooyi, name, Indra Nooyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indra Nooyi
Context triple: [Indra Nooyi, name, Indra Nooyi]
  • A. Indra Nooyi chosen
    Indra Nooyi is an Indian-American business executive best known for serving as the influential former CEO and chairperson of PepsiCo.
  • B. Anne Mulcahy
    Anne Mulcahy is an American business executive best known for leading Xerox Corporation’s turnaround as its CEO and chairwoman in the early 2000s.
  • C. 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.
  • D. Sheryl Sandberg
    Sheryl Sandberg is an American technology executive, author, and former Chief Operating Officer of Meta (formerly Facebook), widely recognized for her leadership in Silicon Valley and advocacy for women in the workplace.
  • E. 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.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9957602c819089b673966fd619e0 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc959b3c8190a0d95a3e616246f9 completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.