Triple

T13377781
Position Surface form Disambiguated ID Type / Status
Subject Raj K. Nooyi E319233 entity
Predicate spouse P13 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: [Raj K. Nooyi, spouse, Indra Nooyi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Indra Nooyi
Context triple: [Raj K. Nooyi, spouse, 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. 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.
  • C. 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.
  • D. 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.
  • E. Meg Whitman
    Meg Whitman is an American business executive best known for leading eBay’s rapid growth as CEO and later serving as CEO of Hewlett Packard Enterprise and U.S. Ambassador to Kenya.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce56c6c8190adf4e19f6d1bc233 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306c18d481908ebc8f802e474479 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:33 p.m.