Triple
T19303919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Hainaut |
E482771
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Jacqueline, Countess of Hainaut
Jacqueline, Countess of Hainaut was a 15th-century noblewoman whose disputed succession and multiple politically charged marriages made her a central figure in the power struggles of the Low Countries.
|
E1423361
|
NE FINISHED |
How this triple was built (4 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: Jacqueline, Countess of Hainaut | Statement: [House of Hainaut, hasNotableMember, Jacqueline, Countess of Hainaut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jacqueline, Countess of Hainaut Context triple: [House of Hainaut, hasNotableMember, Jacqueline, Countess of Hainaut]
-
A.
Joan, Countess of Flanders
Joan, Countess of Flanders, was a 13th-century noblewoman who ruled Flanders and Hainaut in her own right and played a key role in the politics of medieval Northwestern Europe.
-
B.
Joanna of Wittelsbach, Countess of Hainaut
Joanna of Wittelsbach, Countess of Hainaut, was a 14th-century noblewoman of the Bavarian Wittelsbach dynasty who held the title of Countess consort of Hainaut through marriage.
-
C.
Countess of Hainaut
The Countess of Hainaut was a medieval noblewoman from the Low Countries whose title denoted rule over the County of Hainaut, an important feudal territory in what is now Belgium and northern France.
-
D.
Joan of Valois, Countess of Hainaut
Joan of Valois, Countess of Hainaut, was a 14th-century French noblewoman of the Valois dynasty who became Countess of Hainaut through marriage and played a role in the dynastic politics linking France and the Low Countries.
-
E.
Joanna, Duchess of Brabant
Joanna, Duchess of Brabant was a 14th-century noblewoman who ruled the Duchy of Brabant and Limburg in her own right and played a key role in the region’s political and dynastic affairs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jacqueline, Countess of Hainaut Triple: [House of Hainaut, hasNotableMember, Jacqueline, Countess of Hainaut]
Generated description
Jacqueline, Countess of Hainaut was a 15th-century noblewoman whose disputed succession and multiple politically charged marriages made her a central figure in the power struggles of the Low Countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jacqueline, Countess of Hainaut Target entity description: Jacqueline, Countess of Hainaut was a 15th-century noblewoman whose disputed succession and multiple politically charged marriages made her a central figure in the power struggles of the Low Countries.
-
A.
Joan, Countess of Flanders
Joan, Countess of Flanders, was a 13th-century noblewoman who ruled Flanders and Hainaut in her own right and played a key role in the politics of medieval Northwestern Europe.
-
B.
Joanna of Wittelsbach, Countess of Hainaut
Joanna of Wittelsbach, Countess of Hainaut, was a 14th-century noblewoman of the Bavarian Wittelsbach dynasty who held the title of Countess consort of Hainaut through marriage.
-
C.
Countess of Hainaut
The Countess of Hainaut was a medieval noblewoman from the Low Countries whose title denoted rule over the County of Hainaut, an important feudal territory in what is now Belgium and northern France.
-
D.
Joan of Valois, Countess of Hainaut
Joan of Valois, Countess of Hainaut, was a 14th-century French noblewoman of the Valois dynasty who became Countess of Hainaut through marriage and played a role in the dynastic politics linking France and the Low Countries.
-
E.
Joanna, Duchess of Brabant
Joanna, Duchess of Brabant was a 14th-century noblewoman who ruled the Duchy of Brabant and Limburg in her own right and played a key role in the region’s political and dynastic affairs.
- F. None of above. chosen
Provenance (5 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e604c5903c819090b3f89c3f33b005 |
completed | April 20, 2026, 10:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0861013a1081909a47782a9a1ac1d0 |
completed | May 16, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a086264e3408190847a995f3538c70b |
completed | May 16, 2026, 12:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0863b6dd84819089344a5ff28bf0cf |
completed | May 16, 2026, 12:31 p.m. |
Created at: April 10, 2026, 1:31 p.m.