Triple

T23399748
Position Surface form Disambiguated ID Type / Status
Subject JC virus E559470 entity
Predicate namedAfter P63 FINISHED
Object John Cunningham 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 Cunningham | Statement: [JC virus, namedAfter, John Cunningham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cunningham
Context triple: [JC virus, namedAfter, John Cunningham]
  • A. John Cunningham chosen
    John Cunningham is a common personal name shared by numerous notable individuals across fields such as politics, sports, the arts, and academia.
  • B. John Conwell
    John Conwell was an actor who appeared in early television productions, including an episode of the classic anthology series "The Twilight Zone."
  • C. Philip Cunningham
    Philip Cunningham is a personal name shared by multiple individuals, including figures in fields such as politics, academia, and the arts.
  • D. John W. Cunningham
    John W. Cunningham was an American Western author best known for writing the short story that inspired the classic film "High Noon."
  • E. Ed Cunningham
    Ed Cunningham is an American film producer and former college football player and sportscaster, known for producing the documentary "The King of Kong: A Fistful of Quarters."
  • 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_69e24549610c8190a069d6411ce5f661 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a4dedfcc8190ab93cec3c3d15c53 completed April 29, 2026, 6:27 a.m.
Created at: April 17, 2026, 5:37 p.m.