Triple
T11517320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binche |
E273062
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object |
Binchois
Binchois refers to a person or inhabitant from the town of Binche in Belgium.
|
E931857
|
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: Binchois | Statement: [Binche, hasDemonym, Binchois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Binchois Context triple: [Binche, hasDemonym, Binchois]
-
A.
Jean d’Aire
Jean d’Aire is one of the six historical leaders of Calais famously portrayed as a self-sacrificing burgher in Auguste Rodin’s sculpture "The Burghers of Calais."
-
B.
Jacques de Fariaux
Jacques de Fariaux was a 17th-century French military officer best known for commanding the defending forces during the 1673 siege of Maastricht in the Franco-Dutch War.
-
C.
Benoît de Boigne
Benoît de Boigne was an 18th–19th century Savoyard adventurer and general who made his fortune commanding armies in India before becoming a prominent benefactor in his native Chambéry.
-
D.
Antoine de Caux
Antoine de Caux was a military commander known for leading forces during the Siege of Acre.
-
E.
Hugh of Baux
Hugh of Baux was a medieval nobleman from the influential Provençal House of Baux, known for his role in the regional politics and feudal conflicts of southern France.
- 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: Binchois Triple: [Binche, hasDemonym, Binchois]
Generated description
Binchois refers to a person or inhabitant from the town of Binche in Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Binchois Target entity description: Binchois refers to a person or inhabitant from the town of Binche in Belgium.
-
A.
Jean d’Aire
Jean d’Aire is one of the six historical leaders of Calais famously portrayed as a self-sacrificing burgher in Auguste Rodin’s sculpture "The Burghers of Calais."
-
B.
Jacques de Fariaux
Jacques de Fariaux was a 17th-century French military officer best known for commanding the defending forces during the 1673 siege of Maastricht in the Franco-Dutch War.
-
C.
Benoît de Boigne
Benoît de Boigne was an 18th–19th century Savoyard adventurer and general who made his fortune commanding armies in India before becoming a prominent benefactor in his native Chambéry.
-
D.
Antoine de Caux
Antoine de Caux was a military commander known for leading forces during the Siege of Acre.
-
E.
Hugh of Baux
Hugh of Baux was a medieval nobleman from the influential Provençal House of Baux, known for his role in the regional politics and feudal conflicts of southern France.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6853dc47c81909d47f1047ba662e7 |
completed | April 20, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69e68fd6b6088190b24f552b5afc3f55 |
completed | April 20, 2026, 8:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e6b7a31b4081909b06bc9b6d0a1617 |
completed | April 20, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:36 p.m.