Triple

T2365571
Position Surface form Disambiguated ID Type / Status
Subject Opsware E47370 entity
Predicate coFoundedBy P3263 FINISHED
Object Marc Andreessen E8334 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: Marc Andreessen | Statement: [Opsware, coFoundedBy, Marc Andreessen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marc Andreessen
Context triple: [Opsware, coFoundedBy, Marc Andreessen]
  • A. Marc Andreessen chosen
    Marc Andreessen is an American entrepreneur, software engineer, and venture capitalist best known as the co-creator of the Mosaic web browser and co-founder of Netscape and the venture capital firm Andreessen Horowitz.
  • B. Jonathan Schwartz
    Jonathan Schwartz is a film producer best known for his work on acclaimed independent movies such as "Like Crazy."
  • C. Jonathan I. Schwartz
    Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
  • D. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • E. Reid Hoffman
    Reid Hoffman is an American entrepreneur, venture capitalist, and co-founder of LinkedIn, known for his influential role in the tech industry and philanthropy.
  • 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_69af5cce716c8190b87b117b270b9a84 completed March 9, 2026, 11:50 p.m.
Created at: March 4, 2026, 7:55 p.m.