Triple

T2095142
Position Surface form Disambiguated ID Type / Status
Subject Davidville E32762 entity
Predicate keyPerson P256 FINISHED
Object David Karp E22800 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: David Karp | Statement: [Davidville, keyPerson, David Karp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Karp
Context triple: [Davidville, keyPerson, David Karp]
  • A. David Karp chosen
    David Karp is an American web developer and entrepreneur best known for creating the microblogging platform Tumblr.
  • B. Matthew Freund
    Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
  • C. Ben Casnocha
    Ben Casnocha is an American entrepreneur, author, and investor known for co-authoring "The Start-up of You" and "The Alliance" and for his work in the technology and venture capital sectors.
  • D. Ryan Roslansky
    Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
  • E. Gabe Plotkin
    Gabe Plotkin is an American hedge fund manager and investor best known as the founder of Melvin Capital Management and a co-owner of the NBA’s Charlotte Hornets.
  • 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_69a885eba0708190999696a45cbec816 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abba99ddc48190bb2097b56efb7aca completed March 7, 2026, 5:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518d29d4819090aa2a1c6fc7304d completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.