Triple

T4426239
Position Surface form Disambiguated ID Type / Status
Subject Odeo E95215 entity
Predicate hasKeyPerson P256 FINISHED
Object Biz Stone E26749 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: Biz Stone | Statement: [Odeo, hasKeyPerson, Biz Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biz Stone
Context triple: [Odeo, hasKeyPerson, Biz Stone]
  • A. Biz Stone chosen
    Biz Stone is an American entrepreneur and software developer best known as one of the co-founders of Twitter and a prominent figure in the social media 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. Scott Belsky
    Scott Belsky is an American entrepreneur, author, and investor best known as the co-founder of the creative platform Behance and as a longtime product leader at Adobe.
  • D. Sean Parker
    Sean Parker is an American entrepreneur and investor best known as the co-founder of Napster and the first president of Facebook.
  • E. Keith Rabois
    Keith Rabois is an American technology executive, entrepreneur, and venture capitalist known for early leadership roles at companies like PayPal, LinkedIn, and Square and for his investments in numerous successful startups.
  • 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_69b3453c2a0c8190926b574c90766db9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554fb28081909018eaecc0c5c230 completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b67baa14648190811970a45dd0d185 completed March 15, 2026, 9:28 a.m.
Created at: March 12, 2026, 11:30 p.m.