Triple

T33595213
Position Surface form Disambiguated ID Type / Status
Subject William Bradshaw E860542 entity
Predicate perspectiveUsedIn P54869 FINISHED
Object Mr Norris Changes Trains 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: Mr Norris Changes Trains | Statement: [William Bradshaw, perspectiveUsedIn, Mr Norris Changes Trains]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perspectiveUsedIn
Context triple: [William Bradshaw, perspectiveUsedIn, Mr Norris Changes Trains]
  • A. perspectiveOf
    Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
  • B. useOfPerspective chosen
    Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
  • C. settingOfPerspective
    Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
  • D. exploresPerspectiveOf
    Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with another entity.
  • E. knownForPerspective
    Indicates that an entity is recognized or notable for a particular viewpoint, angle, or way of seeing or interpreting something.
  • 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_69f3497f35908190a2e9bbb9b96c7a3f completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6fb19063c81909466b329655c8583 completed May 3, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69f6f96badb08190994442c2aba840b1 completed May 3, 2026, 7:29 a.m.
Created at: May 1, 2026, 1:41 a.m.