Triple

T2402111
Position Surface form Disambiguated ID Type / Status
Subject John Donahoe E47791 entity
Predicate name P16 FINISHED
Object John Donahoe E47791 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: John Donahoe | Statement: [John Donahoe, name, John Donahoe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Donahoe
Context triple: [John Donahoe, name, John Donahoe]
  • A. John Donahoe chosen
    John Donahoe is an American business executive best known as the CEO of Nike, Inc. and former CEO of eBay and ServiceNow.
  • B. 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.
  • 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. 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. Dick Costolo
    Dick Costolo is an American entrepreneur and former stand-up comedian best known for serving as CEO of Twitter during its rapid growth and public offering in the early 2010s.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8f623908190875fdbc95c944f33 completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f7d18f88190bc19aa6b7b687b8e completed March 9, 2026, 7:29 p.m.
Created at: March 4, 2026, 7:57 p.m.