Triple

T30335693
Position Surface form Disambiguated ID Type / Status
Subject The Summe of the Conference between John Rainolds and John Hart E771613 entity
Predicate participantInDebate P121947 FINISHED
Object John Rainolds 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 Rainolds | Statement: [The Summe of the Conference between John Rainolds and John Hart, participantInDebate, John Rainolds]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: participantInDebate
Context triple: [The Summe of the Conference between John Rainolds and John Hart, participantInDebate, John Rainolds]
  • A. hasDebateParticipants chosen
    Indicates that a debate involves the specified participants as parties engaged in the discussion or argument.
  • B. enteredPoliticalDebateIn
    Indicates that an entity took part in a political debate that occurred in a specified place or context.
  • C. positionOnDebate
    Indicates the stance or viewpoint an entity holds regarding a particular debate or controversial issue.
  • D. roleInDebates
    Indicates the specific function or position an entity holds within the context of one or more debates.
  • E. canDebate
    Indicates that one entity has the ability or permission to engage in a debate or argumentative discussion with 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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f72921cf2c8190909bb53f78bcc890 completed May 3, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f7283d8cec8190b524c144948bc4ec completed May 3, 2026, 10:49 a.m.
Created at: April 29, 2026, 7:54 p.m.