Triple

T2365489
Position Surface form Disambiguated ID Type / Status
Subject Andreessen Horowitz E47368 entity
Predicate alsoKnownAs P39 FINISHED
Object a16z E47368 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: a16z | Statement: [Andreessen Horowitz, alsoKnownAs, a16z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: a16z
Context triple: [Andreessen Horowitz, alsoKnownAs, a16z]
  • A. Andreessen Horowitz chosen
    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.
  • B. Thiel Capital
    Thiel Capital is an investment firm and family office managing the personal capital and strategic ventures of billionaire entrepreneur and investor Peter Thiel.
  • C. Founders Fund
    Founders Fund is a Silicon Valley venture capital firm known for backing ambitious, transformative technology companies at early and growth stages.
  • D. Kapor Capital
    Kapor Capital is an early-stage venture capital firm focused on investing in technology-driven startups that aim to close gaps in access, opportunity, and outcomes for underserved communities.
  • E. Y Combinator
    Y Combinator is a prominent Silicon Valley startup accelerator known for funding and mentoring early-stage technology companies such as Airbnb, Dropbox, and Stripe.
  • 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_69a88a1a4a6081908645b0f2914521ab completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc749f8e0819094144b9dd9db8790 completed March 7, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea896e0388190aabff2d70787dc43 completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:55 p.m.