Triple

T41133
Position Surface form Disambiguated ID Type / Status
Subject The Protester E811 entity
Predicate precededBy P97 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: [The Protester, precededBy, Mark Zuckerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Zuckerberg
Context triple: [The Protester, precededBy, 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. Karen Kempner Zuckerberg
    Karen Kempner Zuckerberg is an American psychiatrist best known as the mother of Facebook co-founder and CEO Mark Zuckerberg.
  • D. Edward Zuckerberg
    Edward Zuckerberg is an American dentist and technology enthusiast best known as the father of Facebook co-founder Mark Zuckerberg.
  • E. Marc Benioff
    Marc Benioff is an American billionaire entrepreneur and philanthropist best known as the co-founder, chairman, and CEO of cloud software company Salesforce.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae0b7c4819092220568e8e52ad5 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a27bfdda548190ae43a219cb555ad0 completed Feb. 28, 2026, 5:24 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.