Triple

T690061
Position Surface form Disambiguated ID Type / Status
Subject Prince of Wales E13371 entity
Predicate hasFemaleCounterpart P1613 FINISHED
Object Princess of Wales E29722 NE FINISHED

How this triple was built (3 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: Princess of Wales | Statement: [Prince of Wales, hasFemaleCounterpart, Princess of Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess of Wales
Context triple: [Prince of Wales, hasFemaleCounterpart, Princess of Wales]
  • A. Duchess of York
    The Duchess of York is a British noble title historically granted to the wife of the Duke of York, a senior member of the royal family.
  • B. Catherine, Princess of Wales chosen
    Catherine, Princess of Wales is a senior member of the British royal family, known for her marriage to Prince William and her prominent role in public and charitable life in the United Kingdom.
  • C. Princess Royal
    Princess Royal is a British royal title traditionally granted to the eldest daughter of the reigning monarch.
  • D. Camilla, Queen Consort
    Camilla, Queen Consort is the wife of King Charles III of the United Kingdom and a senior member of the British royal family.
  • E. Princess Margaret
    Princess Margaret was the younger sister of Queen Elizabeth II, known for her glamorous lifestyle, high-profile romances, and often controversial role within the British royal family.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFemaleCounterpart
Context triple: [Prince of Wales, hasFemaleCounterpart, Princess of Wales]
  • A. hasFemaleEquivalent chosen
    Indicates that one entity serves as the female counterpart or equivalent of another entity.
  • B. hasNeutralPronoun
    Indicates that an entity is referred to using a gender-neutral pronoun.
  • C. hasCounterpart
    Indicates that one entity corresponds to, matches, or serves as an equivalent or parallel version of another entity.
  • D. hasGenderDistinction
    Indicates that a relationship, classification, or linguistic form differentiates entities based on gender categories.
  • E. hasMasculineForm
    Indicates that an entity has a corresponding masculine grammatical or lexical form.
  • F. None of above.

Provenance (4 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67ef349588190b2d4f6177a2f335e completed March 3, 2026, 6:25 a.m.
PD Predicate disambiguation batch_69a49d221d38819083c0adda81f59b07 completed March 1, 2026, 8:10 p.m.
Created at: March 1, 2026, 7:36 p.m.