Triple

T5828922
Position Surface form Disambiguated ID Type / Status
Subject Stanley Wojcicki E129297 entity
Predicate name P16 FINISHED
Object Stanley Wojcicki E129297 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: Stanley Wojcicki | Statement: [Stanley Wojcicki, name, Stanley Wojcicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Wojcicki
Context triple: [Stanley Wojcicki, name, Stanley Wojcicki]
  • A. Stanley Wojcicki chosen
    Stanley Wojcicki is a Polish-American physicist and longtime Stanford University professor known both for his contributions to particle physics and as the father of tech executive Susan Wojcicki.
  • B. Esther Wojcicki
    Esther Wojcicki is an American journalist, educator, and author renowned for her innovative teaching methods and influence in media and technology education.
  • C. Janet Wojcicki
    Janet Wojcicki is an American epidemiologist and academic researcher known for her work in public health and nutrition.
  • D. Susan Wojcicki
    Susan Wojcicki is an American technology executive best known for serving as the longtime CEO of YouTube and for being one of Google’s earliest employees and key advertising leaders.
  • E. Donna Zuckerberg
    Donna Zuckerberg is a classicist, writer, and editor-in-chief of the online journal Eidolon, known for her work on how the classics are used in contemporary culture and online misogyny.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03467dfe48190b51757b33681bc20 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e35ad1a081908c908b6eef12d855 completed March 23, 2026, 6:53 a.m.
Created at: March 22, 2026, 3:53 p.m.