Triple

T2105800
Position Surface form Disambiguated ID Type / Status
Subject Sundar Pichai E37191 entity
Predicate name P16 FINISHED
Object Sundar Pichai E37191 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: Sundar Pichai | Statement: [Sundar Pichai, name, Sundar Pichai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sundar Pichai
Context triple: [Sundar Pichai, name, Sundar Pichai]
  • A. Sundar Pichai chosen
    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.
  • B. John Donahoe
    John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
  • C. Satya Nadella
    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.
  • D. Larry Page
    Larry Page is an American computer scientist and entrepreneur best known as the co-founder and former CEO of Google and its parent company Alphabet Inc.
  • E. Parag Agrawal
    Parag Agrawal is an Indian-American technology executive and computer scientist best known for serving as the chief executive officer of Twitter.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbaddeb148190b728bce7a7b041fb completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae306bee8881908c62306fb1f6aea1 completed March 9, 2026, 2:29 a.m.
Created at: March 4, 2026, 7:43 p.m.