Triple

T7872223
Position Surface form Disambiguated ID Type / Status
Subject The Riverkeepers E182763 entity
Predicate featuresCharacter P626 FINISHED
Object John Cronin E697779 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 Cronin | Statement: [The Riverkeepers, featuresCharacter, John Cronin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Cronin
Context triple: [The Riverkeepers, featuresCharacter, John Cronin]
  • A. John Cronin chosen
    John Cronin is an American environmentalist and longtime Hudson River advocate who co-authored the influential book "The Riverkeepers" and helped pioneer the modern riverkeeper movement.
  • B. John Fagan
    John Fagan is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Fagan.
  • C. John McEnery
    John McEnery was a Reconstruction-era Louisiana politician and Democrat who became known for his contested claim to the governorship in the turbulent 1872 election.
  • D. Arthur Dignam
    Arthur Dignam was an Australian actor known for his distinctive character roles in film, television, and theatre.
  • E. Arthur O'Connell
    Arthur O'Connell was an American character actor known for his supporting roles in mid-20th-century films and stage productions, often portraying kindly or world-weary older men.
  • 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_69ca82894d9081908a832bfce71a4714 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb39a6d93881908d68386e49bea1e3 completed March 31, 2026, 3:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdf844f24819091cb8757d29a4a3f completed March 31, 2026, 2:51 p.m.
Created at: March 30, 2026, 4:56 p.m.