Triple

T1273252
Position Surface form Disambiguated ID Type / Status
Subject Satya Nadella E15756 entity
Predicate name P16 FINISHED
Object Satya Nadella E15756 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: Satya Nadella | Statement: [Satya Nadella, name, Satya Nadella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satya Nadella
Context triple: [Satya Nadella, name, Satya Nadella]
  • A. Satya Nadella chosen
    Satya Nadella is an Indian-American business executive who serves as the CEO and chairman of Microsoft, known for steering the company’s transformation toward cloud computing and AI.
  • B. Steve Ballmer
    Steve Ballmer is an American businessman and former Microsoft CEO known for his energetic leadership style and ownership of the NBA’s Los Angeles Clippers.
  • C. Sundar Pichai
    Sundar Pichai is an Indian-American business executive and technologist best known for leading Google and its parent company Alphabet Inc. as chief executive officer.
  • D. Marc Benioff
    Marc Benioff is an American billionaire entrepreneur and philanthropist best known as the co-founder, chairman, and CEO of cloud software company Salesforce.
  • E. Steven Sinofsky
    Steven Sinofsky is an American technology executive and former Microsoft president best known for leading the development of Windows and Office.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06d73608190be87be49c4367072 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac998e56488190ac3cf51563335e30 completed March 7, 2026, 9:33 p.m.
Created at: March 1, 2026, 7:50 p.m.