Triple

T4367161
Position Surface form Disambiguated ID Type / Status
Subject Karen Kempner E98803 entity
Predicate child P120 FINISHED
Object Donna Zuckerberg E8295 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: Donna Zuckerberg | Statement: [Karen Kempner, child, Donna Zuckerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donna Zuckerberg
Context triple: [Karen Kempner, child, Donna Zuckerberg]
  • A. Donna Zuckerberg chosen
    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.
  • B. Aurelia Chan Zuckerberg
    Aurelia Chan Zuckerberg is the daughter of pediatrician and philanthropist Priscilla Chan and Meta co-founder and CEO Mark Zuckerberg.
  • C. Karen Kempner Zuckerberg
    Karen Kempner Zuckerberg is an American psychiatrist best known as the mother of Facebook co-founder and CEO Mark Zuckerberg.
  • D. 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.
  • E. Sandy Lerner
    Sandy Lerner is an American businesswoman and philanthropist best known as the co-founder of networking giant Cisco Systems and later as a supporter of animal welfare, sustainable agriculture, and literary scholarship.
  • 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_69b3454db3708190aeafd814413c4c3d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35201be7081908808e81634060f95 completed March 12, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5dbcec90881908fe83c83119d99fe completed March 14, 2026, 10:06 p.m.
Created at: March 12, 2026, 11:17 p.m.