Triple

T5332075
Position Surface form Disambiguated ID Type / Status
Subject Maxima Chan Zuckerberg E123332 entity
Predicate familyName P18 FINISHED
Object Chan Zuckerberg E23807 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: Chan Zuckerberg | Statement: [Maxima Chan Zuckerberg, familyName, Chan Zuckerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chan Zuckerberg
Context triple: [Maxima Chan Zuckerberg, familyName, Chan Zuckerberg]
  • A. August Chan Zuckerberg
    August Chan Zuckerberg is one of the daughters of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
  • B. Maxima Chan Zuckerberg chosen
    Maxima Chan Zuckerberg is the daughter of Facebook co-founder Mark Zuckerberg and pediatrician-philanthropist Priscilla Chan.
  • C. Mark Zuckerberg
    Mark Zuckerberg is an American technology entrepreneur and philanthropist best known as the co-founder and CEO of Facebook (now Meta Platforms).
  • D. Karen Kempner Zuckerberg
    Karen Kempner Zuckerberg is an American psychiatrist best known as the mother of Facebook co-founder and CEO Mark Zuckerberg.
  • E. Randi Zuckerberg
    Randi Zuckerberg is an American businesswoman, author, and former Facebook marketing executive who founded the media company Zuckerberg Media and focuses on technology, entrepreneurship, and digital literacy.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85aab0308190990626cbc9da3e21 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18b75c388190955e4e31d71ffedb completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.