Triple

T20738884
Position Surface form Disambiguated ID Type / Status
Subject John Case (author) E509785 entity
Predicate name P16 FINISHED
Object John Case 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: John Case | Statement: [John Case (author), name, John Case]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Case
Context triple: [John Case (author), name, John Case]
  • A. John Case chosen
    John Case is a relatively common personal name that may refer to multiple individuals across different fields, such as literature, academia, or public life.
  • B. John Doerr
    John Doerr is a prominent American venture capitalist and early investor in major technology companies such as Google and Amazon.
  • C. Randy Komisar
    Randy Komisar is an American venture capitalist, entrepreneur, and author known for his work with Silicon Valley startups and his role as a partner at Kleiner Perkins.
  • D. John Battelle
    John Battelle is an American entrepreneur, author, and media executive best known for co-founding Wired magazine and Federated Media Publishing and for his influential work chronicling and shaping the evolution of the internet industry.
  • E. Thomas Siebel
    Thomas Siebel is an American technology entrepreneur best known as the founder of Siebel Systems and later the cloud computing company C3.ai.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20c36708190898b889b6989fc7d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:32 p.m.