Triple

T19879569
Position Surface form Disambiguated ID Type / Status
Subject Esther Wojcicki E477730 entity
Predicate spouse P13 FINISHED
Object Stanley Wojcicki NE NERFINISHED

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: [Esther Wojcicki, spouse, Stanley Wojcicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stanley Wojcicki
Context triple: [Esther Wojcicki, spouse, 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 (2 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dd869c81908aed91ee767f5f3d completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:52 p.m.