Triple

T15377
Position Surface form Disambiguated ID Type / Status
Subject Mark Zuckerberg E306 entity
Predicate notablePhilanthropy P499 FINISHED
Object Chan Zuckerberg Initiative focus on education, science, and justice LITERAL 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 Initiative focus on education, science, and justice | Statement: [Mark Zuckerberg, notablePhilanthropy, Chan Zuckerberg Initiative focus on education, science, and justice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notablePhilanthropy
Context triple: [Mark Zuckerberg, notablePhilanthropy, Chan Zuckerberg Initiative focus on education, science, and justice]
  • A. notableFor
    Indicates that an entity is especially recognized or distinguished for a particular quality, achievement, characteristic, or role.
  • B. notableContribution
    Indicates that an entity has made a significant, recognized contribution to another entity, field, work, or endeavor.
  • C. notableRecipient
    Indicates that an entity has received a notable award, honor, or recognition from another entity.
  • D. fundedBy
    Indicates that an entity receives financial support or resources from another entity.
  • E. donated chosen
    Indicates that one entity voluntarily gave something of value (such as money, goods, or time) to another entity, typically without expecting anything in return.
  • F. None of above.

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_69a23d7ad88c8190bffe8ab091d86642 completed Feb. 28, 2026, 12:57 a.m.
NER Named-entity recognition batch_69a240b249788190af8dbf7e80e9c91b completed Feb. 28, 2026, 1:11 a.m.
PD Predicate disambiguation batch_69a23feae8c481908d8c50faac01fc5c completed Feb. 28, 2026, 1:07 a.m.
Created at: Feb. 28, 2026, 1:02 a.m.