Triple

T23803533
Position Surface form Disambiguated ID Type / Status
Subject Countess Spencer E589637 entity
Predicate notableFamilyMemberAssociated P367 FINISHED
Object Diana, Princess of Wales 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: Diana, Princess of Wales | Statement: [Countess Spencer, notableFamilyMemberAssociated, Diana, Princess of Wales]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableFamilyMemberAssociated
Context triple: [Countess Spencer, notableFamilyMemberAssociated, Diana, Princess of Wales]
  • A. notableFamilyFor
    Indicates that a family is particularly recognized or distinguished for a specific person, achievement, role, or characteristic.
  • B. notableFamilyIn
    Indicates that a person is notably associated with or belongs to a particular family within a given place or context.
  • C. notableFamilyNameOf
    Indicates that a particular family name is notably or prominently associated with a given person or family entity.
  • D. notableRelative chosen
    Indicates that an entity has a relative who is notable or well-known, specifying that familial relationship.
  • E. notablyAssociatedWith
    Indicates that one entity is prominently or distinctively connected with another in a way that is especially noteworthy or remarkable.
  • 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_69e25d19fecc8190a5cf39bbb18d5d7f completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1c750048c8190899ff611df35b361 completed April 29, 2026, 8:54 a.m.
PD Predicate disambiguation batch_69f155fe300481909bd617443228df65 completed April 29, 2026, 12:51 a.m.
Created at: April 17, 2026, 7:54 p.m.