Triple

T20844898
Position Surface form Disambiguated ID Type / Status
Subject Paul Sciarra E513194 entity
Predicate employer P7 FINISHED
Object Andreessen Horowitz NE NERFINISHED

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: Andreessen Horowitz | Statement: [Paul Sciarra, employer, Andreessen Horowitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andreessen Horowitz
Context triple: [Paul Sciarra, employer, Andreessen Horowitz]
  • 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. Sequoia Capital
    Sequoia Capital is a leading Silicon Valley venture capital firm known for early investments in companies like Apple, Google, and Airbnb.
  • C. Arch Venture Partners
    Arch Venture Partners is a prominent venture capital firm known for investing in early-stage life sciences and technology companies.
  • D. Bessemer Venture Partners
    Bessemer Venture Partners is a long-established global venture capital firm known for investing in early-stage and growth technology companies across sectors such as cloud, enterprise software, and consumer internet.
  • E. Khosla Ventures
    Khosla Ventures is a Silicon Valley-based venture capital firm known for investing in early-stage, high-risk technology and clean energy startups.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f4898081908209e58edb8f9c45 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c34deef88190992b959b83bc59b1 completed April 21, 2026, 12:22 a.m.
Created at: April 16, 2026, 12:43 p.m.