Triple

T5427986
Position Surface form Disambiguated ID Type / Status
Subject Youniversity Ventures E121409 entity
Predicate coFounderJawedKarimKnownFor P34633 FINISHED
Object co-founding YouTube 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: co-founding YouTube | Statement: [Youniversity Ventures, coFounderJawedKarimKnownFor, co-founding YouTube]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coFounderJawedKarimKnownFor
Context triple: [Youniversity Ventures, coFounderJawedKarimKnownFor, co-founding YouTube]
  • A. cofounderOf
    Indicates that a person jointly established or created an organization, company, or project with one or more other founders.
  • B. founderKnownFor chosen
    Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
  • C. coFounderOccupation
    Indicates that the specified occupation is or was held by a person in their role as a co-founder of an organization.
  • D. wasFoundedBy
    Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
  • E. coFounderOfFounder
    Indicates that one entity is a co-founder of another entity who is themselves a founder of something else.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8911a7348190ad9378a248190f07 completed March 20, 2026, 5:51 p.m.
PD Predicate disambiguation batch_69bd846b8bdc81909dcdc2a3084226f2 completed March 20, 2026, 5:31 p.m.
Created at: March 20, 2026, 2:06 p.m.