Triple

T32726032
Position Surface form Disambiguated ID Type / Status
Subject High Minister E836803 entity
Predicate canBeStyle P69527 FINISHED
Object His Excellency 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: His Excellency | Statement: [High Minister, canBeStyle, His Excellency]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canBeStyle
Context triple: [High Minister, canBeStyle, His Excellency]
  • A. hasStyle
    Indicates that an entity possesses, exhibits, or is characterized by a particular style or manner.
  • B. canBe
    Indicates that one entity has the potential, permission, or capability to become, perform as, or be classified as another entity.
  • C. mayHoldStyle chosen
    Indicates that an entity is permitted or able to possess or be associated with a particular style or stylistic attribute.
  • D. usesAsStyleOf
    Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
  • E. canBeUsed
    Indicates that one entity is suitable or available to serve a particular function, purpose, or role in relation to another entity or context.
  • 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_69f34935455881909088975d79460418 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fe610e1f6881908f10070ba64643cf completed May 8, 2026, 10:17 p.m.
PD Predicate disambiguation batch_69fe604c6c008190ad659e9b9fa82f7b completed May 8, 2026, 10:14 p.m.
Created at: May 1, 2026, 1:11 a.m.