Triple

T26585143
Position Surface form Disambiguated ID Type / Status
Subject The Letters of William Cowper E667188 entity
Predicate hasNotableCorrespondent P26052 FINISHED
Object John Newton 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 Newton | Statement: [The Letters of William Cowper, hasNotableCorrespondent, John Newton]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableCorrespondent
Context triple: [The Letters of William Cowper, hasNotableCorrespondent, John Newton]
  • A. notableCorrespondent chosen
    Indicates that one entity is a significant or distinguished correspondent of another, typically through notable or historically important exchanges of communication.
  • B. hasNotableAffiliation
    Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
  • C. hasNotableIdentity
    Indicates that an entity is recognized for a specific, distinguished role, status, or identity that makes it notable.
  • D. hasNotableReference
    Indicates that one entity makes a significant or noteworthy mention of, or allusion to, another entity.
  • E. notableRecipient
    Indicates that an entity has received a notable award, honor, or recognition from another entity.
  • F. None of above.

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_69ee9cfb7e548190b60a9031182f5a7e completed April 26, 2026, 11:17 p.m.
NER Named-entity recognition batch_69fd9ff026a48190bfec33deeb3b2c43 completed May 8, 2026, 8:33 a.m.
PD Predicate disambiguation batch_69fd97d805bc8190ba12f429d3ad04c7 completed May 8, 2026, 7:59 a.m.
Created at: April 27, 2026, 2:05 a.m.