Triple

T804830
Position Surface form Disambiguated ID Type / Status
Subject Confinity E17406 entity
Predicate keyPerson P256 FINISHED
Object Max Levchin E25036 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: Max Levchin | Statement: [Confinity, keyPerson, Max Levchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Max Levchin
Context triple: [Confinity, keyPerson, Max Levchin]
  • A. Max Levchin chosen
    Max Levchin is a Ukrainian-American computer scientist and entrepreneur best known as a co-founder of PayPal and a prominent figure in Silicon Valley’s fintech industry.
  • B. Dustin Moskovitz
    Dustin Moskovitz is an American entrepreneur and philanthropist best known as a co-founder of Facebook and the productivity software company Asana.
  • C. Peter Thiel
    Peter Thiel is a German-American entrepreneur, venture capitalist, and political activist best known as a co-founder of PayPal and an early investor in Facebook.
  • D. Nathan Blecharczyk
    Nathan Blecharczyk is an American billionaire entrepreneur and software engineer best known as a co-founder and longtime technology leader of the home-sharing company Airbnb.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4aabff3d88190bec4299fa0d87df0 completed March 1, 2026, 9:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c00e3fb48190a242264358413b05 completed March 4, 2026, 5:15 a.m.
Created at: March 1, 2026, 7:38 p.m.