Triple

T4395656
Position Surface form Disambiguated ID Type / Status
Subject Good Ventures E99479 entity
Predicate coFounderOccupation P55842 FINISHED
Object journalist Cari Tuna 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: journalist Cari Tuna | Statement: [Good Ventures, coFounderOccupation, journalist Cari Tuna]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coFounderOccupation
Context triple: [Good Ventures, coFounderOccupation, journalist Cari Tuna]
  • A. cofounderOf
    Indicates that a person jointly established or created an organization, company, or project with one or more other founders.
  • B. coFounderOfFounder
    Indicates that one entity is a co-founder of another entity who is themselves a founder of something else.
  • C. coFounderWith
    Indicates that two or more entities jointly founded the same organization or venture.
  • D. founderKnownFor
    Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
  • E. currentFounder
    Indicates that an entity is a present, active founder of another entity (such as an organization or company).
  • F. None of above. chosen

Provenance (4 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352ab928c81909f4406d5df3e081b completed March 12, 2026, 11:56 p.m.
PD Predicate disambiguation batch_69b34f597998819092477efdedb51427 completed March 12, 2026, 11:42 p.m.
PDg Predicate description generation batch_69b34ff654308190b9717526120d80d3 completed March 12, 2026, 11:44 p.m.
Created at: March 12, 2026, 11:20 p.m.