Triple

T32669206
Position Surface form Disambiguated ID Type / Status
Subject An Essay towards solving a Problem in the Doctrine of Chances E835243 entity
Predicate posthumousAuthorAttribution P15628 FINISHED
Object Thomas Bayes 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: Thomas Bayes | Statement: [An Essay towards solving a Problem in the Doctrine of Chances, posthumousAuthorAttribution, Thomas Bayes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: posthumousAuthorAttribution
Context triple: [An Essay towards solving a Problem in the Doctrine of Chances, posthumousAuthorAttribution, Thomas Bayes]
  • A. isPosthumousWorkOf chosen
    Indicates that a work was created, published, or became known only after the death of the person with whom it is associated.
  • B. probableAuthorOf
    Indicates that an entity is likely, but not certainly, the author or creator of another entity.
  • C. isPosthumous
    Indicates that something occurs, is created, or is conferred after the death of the person to whom it relates.
  • D. posthumousForm
    Indicates a form, version, or representation of something that is created, recognized, or exists only after the death of the associated entity.
  • E. notedPosthumouslyBy
    Indicates that information about an entity was recorded, mentioned, or recognized by someone only after that entity’s death.
  • 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_69f349303ccc8190a70d0f6e8a21d3fb completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c7ab10a88190bc44bfb0e61ead52 completed May 3, 2026, 3:57 a.m.
PD Predicate disambiguation batch_69f6c3f617c08190a70ba880210f908c completed May 3, 2026, 3:41 a.m.
Created at: May 1, 2026, 1:08 a.m.