Triple

T78949
Position Surface form Disambiguated ID Type / Status
Subject Chan Zuckerberg Initiative E1583 entity
Predicate hasKeyPerson P256 FINISHED
Object Mark Zuckerberg E306 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: Mark Zuckerberg | Statement: [Chan Zuckerberg Initiative, hasKeyPerson, Mark Zuckerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Zuckerberg
Context triple: [Chan Zuckerberg Initiative, hasKeyPerson, Mark Zuckerberg]
  • A. Mark Zuckerberg chosen
    Mark Zuckerberg is an American technology entrepreneur and philanthropist best known as the co-founder and CEO of Facebook (now Meta Platforms).
  • B. 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.
  • C. Eduardo Saverin
    Eduardo Saverin is a Brazilian-born entrepreneur and investor best known as one of the original co-founders of Facebook.
  • 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. Reid Hoffman
    Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f335b5c8190bf2158d884890ac2 completed Feb. 28, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2d72fb0848190bf1f90c556af5f51 completed Feb. 28, 2026, 11:53 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.