Triple

T3466869
Position Surface form Disambiguated ID Type / Status
Subject Crown of Antigua and Barbuda E73158 entity
Predicate embodiesRoleOf P11687 FINISHED
Object reigning monarch of Antigua and Barbuda 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: reigning monarch of Antigua and Barbuda | Statement: [Crown of Antigua and Barbuda, embodiesRoleOf, reigning monarch of Antigua and Barbuda]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: embodiesRoleOf
Context triple: [Crown of Antigua and Barbuda, embodiesRoleOf, reigning monarch of Antigua and Barbuda]
  • A. servesRole chosen
    Indicates that one entity performs, fulfills, or occupies a particular function, position, or responsibility in relation to another entity.
  • B. playsInRole
    Indicates that an entity performs or appears in a specific role within a production, event, or context.
  • C. possibleRole
    Indicates that an entity is capable of or eligible to serve in a particular role or function in a given context.
  • D. depictsPersonRole
    Indicates that an image or representation shows a person in a specific role, function, or capacity.
  • E. refersToRole
    Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb1090188190ac8aafd87dfaa6a7 completed March 8, 2026, 6:08 p.m.
PD Predicate disambiguation batch_69adae05bb0081909dc7e4779d6e05ef completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:17 p.m.