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.