Triple

T9550816
Position Surface form Disambiguated ID Type / Status
Subject Earl of Danby E230415 entity
Predicate associatedWithPoliticalFaction P23895 FINISHED
Object early Tory party LITERAL 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: early Tory party | Statement: [Earl of Danby, associatedWithPoliticalFaction, early Tory party]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithPoliticalFaction
Context triple: [Earl of Danby, associatedWithPoliticalFaction, early Tory party]
  • A. hasPoliticalGroup chosen
    Indicates that an entity is associated with, belongs to, or is represented by a particular political group or organization.
  • B. associatedWithPoliticalModel
    Indicates that an entity is connected or linked to a particular political model, framework, or ideology in some relevant way.
  • C. associatedWithRebelGroup
    Indicates that one entity is connected or linked in some capacity to a rebel group, such as through membership, support, collaboration, or affiliation.
  • D. associatedWithPartySystem
    Indicates that an entity is linked or connected to a particular party system, such as a political or organizational party structure.
  • E. associatedWithRegime
    Indicates a relationship where an entity is linked or connected to a particular regime, such as a political, governmental, or ruling system.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd991df7308190a56d95f195627513 completed April 1, 2026, 10:15 p.m.
PD Predicate disambiguation batch_69ccd58bd21881908b860e3ee469af13 completed April 1, 2026, 8:21 a.m.
Created at: March 30, 2026, 8:02 p.m.