Triple

T3244452
Position Surface form Disambiguated ID Type / Status
Subject Anne Wojcicki E68038 entity
Predicate name P16 FINISHED
Object Anne Wojcicki E68038 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: Anne Wojcicki | Statement: [Anne Wojcicki, name, Anne Wojcicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Wojcicki
Context triple: [Anne Wojcicki, name, Anne Wojcicki]
  • A. Anne Wojcicki chosen
    Anne Wojcicki is an American entrepreneur and co-founder of the personal genomics and biotechnology company 23andMe.
  • 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. Jill P. Mesirov
    Jill P. Mesirov is an American mathematician and computational biologist known for her work in bioinformatics and leadership roles in data science within academia and industry.
  • E. 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.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1982448190b3d60c9e4471421f completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eb55734819093f470caacc3e29c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.