Triple

T12697321
Position Surface form Disambiguated ID Type / Status
Subject Countess of Dumbarton E303368 entity
Predicate grantedInContextOf P28722 FINISHED
Object marriage of Prince Harry and Meghan Markle 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: marriage of Prince Harry and Meghan Markle | Statement: [Countess of Dumbarton, grantedInContextOf, marriage of Prince Harry and Meghan Markle]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: grantedInContextOf
Context triple: [Countess of Dumbarton, grantedInContextOf, marriage of Prince Harry and Meghan Markle]
  • A. grantedIn chosen
    Indicates that something (such as a right, status, or permission) is formally conferred or authorized within a particular context, document, or jurisdiction.
  • B. grantedAs
    Indicates that one entity is conferred, assigned, or bestowed in a particular role, status, or capacity to another entity.
  • C. grantedWith
    Indicates that one entity is given, conferred, or endowed together with another entity as part of the same granting event or condition.
  • D. grantedBy
    Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
  • E. grantedTo
    Indicates that a right, permission, or resource has been formally given or assigned by one party to another.
  • 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d962a32c6481908ddaddae4ea267bf completed April 10, 2026, 8:50 p.m.
PD Predicate disambiguation batch_69d960be63f081908a5ef5ef17a311bf completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:22 p.m.