Triple

T16964014
Position Surface form Disambiguated ID Type / Status
Subject John Stankey E411498 entity
Predicate name P16 FINISHED
Object John Stankey E411498 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 Stankey | Statement: [John Stankey, name, John Stankey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Stankey
Context triple: [John Stankey, name, John Stankey]
  • A. John Stankey chosen
    John Stankey is an American business executive best known as the chief executive officer of AT&T.
  • B. Hank Greenspun
    Hank Greenspun was an American newspaper publisher, political activist, and philanthropist best known as the influential owner of the Las Vegas Sun.
  • C. Martin Stellman
    Martin Stellman is a British filmmaker and screenwriter known for his work on socially conscious dramas such as "For Queen and Country" and "Quadrophenia."
  • D. Robert H. Crandall
    Robert H. Crandall was a cinematographer known for his work on nature and documentary films, including the Academy Award-winning short documentary "The Living Desert."
  • E. Leonard Bosack
    Leonard Bosack is an American computer engineer and entrepreneur best known as the co-founder of Cisco Systems, a pioneering company in computer networking and internet infrastructure.
  • 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_69d886c9c9d481909afe222093641cae completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d0a2cda88190bd574a869f0e43e9 completed April 18, 2026, 6:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d46cb56481908c2bc6648a12fbcf completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:31 a.m.