Triple

T9976129
Position Surface form Disambiguated ID Type / Status
Subject Countess of Angoulême E196331 entity
Predicate notableHolderTitleCombination P20021 FINISHED
Object Isabella of Angoulême was both queen consort of England and Countess of Angoulême E832727 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: Isabella of Angoulême was both queen consort of England and Countess of Angoulême | Statement: [Countess of Angoulême, notableHolderTitleCombination, Isabella of Angoulême was both queen consort of England and Countess of Angoulême]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isabella of Angoulême was both queen consort of England and Countess of Angoulême
Context triple: [Countess of Angoulême, notableHolderTitleCombination, Isabella of Angoulême was both queen consort of England and Countess of Angoulême]
  • A. Isabella of Angoulême was married to King John of England chosen
    Isabella of Angoulême was a French noblewoman who became Queen consort of England as the second wife of King John and later played a significant political role in both England and France.
  • B. Duchess consort of Aquitaine
    The Duchess consort of Aquitaine was the title held by the wife of the ruling Duke of Aquitaine, a powerful medieval principality in what is now southwestern France.
  • C. Isabella of England, Lady de Coucy
    Isabella of England, Lady de Coucy was a 14th-century English princess, the eldest daughter of King Edward III, who became Countess of Bedford and Lady of Coucy through her continental marriage and connections to French nobility.
  • D. Isabella of England
    Isabella of England was a 13th-century English princess, daughter of King John of England and Isabella of Angoulême, who became Holy Roman Empress and Queen of Sicily through her marriage to Emperor Frederick II.
  • E. Duchess consort of Orléans
    The Duchess consort of Orléans was the wife of the Duke of Orléans, traditionally a prominent French royal princess by marriage and a key figure at the court of France.
  • 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: notableHolderTitleCombination
Context triple: [Countess of Angoulême, notableHolderTitleCombination, Isabella of Angoulême was both queen consort of England and Countess of Angoulême]
  • A. notableHolder
    Indicates that a person or entity is a distinguished or prominent holder of a particular position, title, or role.
  • B. notableTitleHeld chosen
    Indicates that an entity has held a distinguished or noteworthy title, rank, or official position.
  • C. notableHolderRole
    Indicates that an entity is recognized for holding a particular role, office, or position in a notable or distinguished capacity.
  • D. notableHolderFamily
    Indicates that a particular family is notably associated with holding, possessing, or being custodians of the referenced entity.
  • E. titleHoldersCollectively
    Indicates that a group of entities jointly hold, share, or possess a particular title or set of titles as a collective.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb84b47308190aa2f94fa7320cdc3 completed April 2, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c9f6cc81908256dc1e8d6c3fea completed April 5, 2026, 12:38 p.m.
PD Predicate disambiguation batch_69cd1d9daa808190b413a1b9a1e929e2 completed April 1, 2026, 1:29 p.m.
Created at: March 30, 2026, 8:48 p.m.