Triple

T1185996
Position Surface form Disambiguated ID Type / Status
Subject Peter Thiel E25246 entity
Predicate coFounded P104 FINISHED
Object Founders Fund E95176 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: Founders Fund | Statement: [Peter Thiel, coFounded, Founders Fund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Founders Fund
Context triple: [Peter Thiel, coFounded, Founders Fund]
  • A. Founders Fund chosen
    Founders Fund is a Silicon Valley venture capital firm known for backing ambitious, transformative technology companies at early and growth stages.
  • B. B Capital Group
    B Capital Group is a global venture capital and private equity firm that invests in high-growth technology and innovation-driven companies.
  • C. Mohr Davidow Ventures
    Mohr Davidow Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage technology and life sciences startups.
  • D. Andreessen Horowitz
    Andreessen Horowitz is a prominent Silicon Valley venture capital firm known for backing leading technology startups across software, fintech, crypto, and other innovation-driven sectors.
  • E. FSG Ventures
    FSG Ventures is the investment arm of Fenway Sports Group, focusing on strategic and growth-oriented sports and entertainment-related investments.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd53e4b48190abb2167f8074a6bc completed March 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f239a288190ae488d11cff8ebf2 completed March 7, 2026, 6:32 p.m.
Created at: March 1, 2026, 7:45 p.m.