Triple

T4395595
Position Surface form Disambiguated ID Type / Status
Subject Cari Tuna E99478 entity
Predicate notableWork P4 FINISHED
Object Good Ventures E99479 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: Good Ventures | Statement: [Cari Tuna, notableWork, Good Ventures]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Ventures
Context triple: [Cari Tuna, notableWork, Good Ventures]
  • A. Good Ventures chosen
    Good Ventures is a philanthropic foundation co-founded by Facebook billionaire Dustin Moskovitz that focuses on high-impact, evidence-based charitable giving, often in partnership with the effective altruism community.
  • B. GiveWell
    GiveWell is a nonprofit charity evaluator that conducts in-depth research to identify and recommend highly cost-effective giving opportunities to donors.
  • C. Skoll Foundation
    The Skoll Foundation is a philanthropic organization that supports social entrepreneurs and innovative solutions to the world’s most pressing problems.
  • D. Benefits Agency
    The Benefits Agency was a UK government executive agency responsible for administering social security benefits to the public.
  • E. GoodPlanet Foundation
    GoodPlanet Foundation is a French non-profit organization dedicated to environmental protection, sustainability education, and promoting ecological awareness worldwide.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352ab928c81909f4406d5df3e081b completed March 12, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5ec77d081909b07ebd004be136f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:20 p.m.