Triple

T5789859
Position Surface form Disambiguated ID Type / Status
Subject Esther Wojcicki E128364 entity
Predicate child P120 FINISHED
Object Susan Wojcicki E22723 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: Susan Wojcicki | Statement: [Esther Wojcicki, child, Susan Wojcicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Wojcicki
Context triple: [Esther Wojcicki, child, Susan Wojcicki]
  • A. Susan Wojcicki chosen
    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.
  • B. Stanley Wojcicki
    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.
  • C. Esther Wojcicki
    Esther Wojcicki is an American journalist, educator, and author renowned for her innovative teaching methods and influence in media and technology education.
  • D. Anjali Pichai
    Anjali Pichai is an Indian-born chemical engineer and businesswoman best known as the wife of Google and Alphabet CEO Sundar Pichai.
  • E. Janet Wojcicki
    Janet Wojcicki is an American epidemiologist and academic researcher known for her work in public health and nutrition.
  • 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_69c0084450048190bc647b649a05136b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02a5585788190821b8da40259e0e7 completed March 22, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a17582f48190af88b000ced8b7b5 completed March 23, 2026, 2:12 a.m.
Created at: March 22, 2026, 3:51 p.m.