Triple

T23161054
Position Surface form Disambiguated ID Type / Status
Subject Harry Dawes E578582 entity
Predicate primaryThemeRelation P36853 FINISHED
Object fame 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: fame | Statement: [Harry Dawes, primaryThemeRelation, fame]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: primaryThemeRelation
Context triple: [Harry Dawes, primaryThemeRelation, fame]
  • A. primaryThemeAssociation chosen
    Indicates that one entity is the main or central theme associated with another entity.
  • B. primaryThemeOrigin
    Indicates that the primary thematic content of something (e.g., a work or discourse) originates from or is derived from a particular source or context.
  • C. primaryColorPalette
    Indicates the set of main or dominant colors associated with an entity, typically used as its core color scheme.
  • D. primaryColour
    Indicates that one entity is the main or dominant color characteristic of another entity.
  • E. primaryTopicOf
    Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
  • 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_69e245fc75348190a0288401044c8af8 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f006930819097aafef87405d737 completed April 29, 2026, 4:54 a.m.
PD Predicate disambiguation batch_69ef89ff76808190808ee4ad9dea776b completed April 27, 2026, 4:08 p.m.
Created at: April 17, 2026, 4:02 p.m.