Triple

T10692379
Position Surface form Disambiguated ID Type / Status
Subject Mark Zuckerberg E252041 entity
Predicate familyName P18 FINISHED
Object 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: Zuckerberg | Statement: [Mark Zuckerberg, familyName, Zuckerberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zuckerberg
Context triple: [Mark Zuckerberg, familyName, 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. August Chan Zuckerberg
    August Chan Zuckerberg is one of the daughters of Facebook co-founder Mark Zuckerberg and philanthropist Priscilla Chan.
  • C. Maxima Chan Zuckerberg
    Maxima Chan Zuckerberg is the daughter of Facebook co-founder Mark Zuckerberg and pediatrician-philanthropist Priscilla Chan.
  • D. Eduardo Saverin
    Eduardo Saverin is a Brazilian-born entrepreneur and investor best known as one of the original co-founders of Facebook.
  • E. Karen Kempner Zuckerberg
    Karen Kempner Zuckerberg is an American psychiatrist best known as the mother of Facebook co-founder and CEO Mark Zuckerberg.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd37cf408190a1912b3e0aa096a5 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb703b1ec8190b11fbb381c929a90 completed April 12, 2026, 3:15 p.m.
Created at: April 8, 2026, 9:11 p.m.