Triple
T13790147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of l'Écluse |
E331372
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object |
Hugues Quiéret
Hugues Quiéret was a 14th-century French naval commander and admiral who played a leading role in early Hundred Years' War sea battles.
|
E1438564
|
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: Hugues Quiéret | Statement: [Battle of l'Écluse, commander, Hugues Quiéret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugues Quiéret Context triple: [Battle of l'Écluse, commander, Hugues Quiéret]
-
A.
Jacques Blaquart
Jacques Blaquart is a French Roman Catholic prelate who serves as the bishop of the Diocese of Orléans.
-
B.
Charles de Lorencez
Charles de Lorencez was a French general best known for leading the ill-fated French assault against Mexican forces at the Battle of Puebla in 1862.
-
C.
Henri Dutetre
Henri Dutetre was one of the discoverers of the prehistoric cave site of Pech Merle in southwestern France.
-
D.
Émile Ricquier
Émile Ricquier was a French architect best known for designing the Musée de Picardie in Amiens.
-
E.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
- 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: Hugues Quiéret Triple: [Battle of l'Écluse, commander, Hugues Quiéret]
Generated description
Hugues Quiéret was a 14th-century French naval commander and admiral who played a leading role in early Hundred Years' War sea battles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hugues Quiéret Target entity description: Hugues Quiéret was a 14th-century French naval commander and admiral who played a leading role in early Hundred Years' War sea battles.
-
A.
Jacques Blaquart
Jacques Blaquart is a French Roman Catholic prelate who serves as the bishop of the Diocese of Orléans.
-
B.
Charles de Lorencez
Charles de Lorencez was a French general best known for leading the ill-fated French assault against Mexican forces at the Battle of Puebla in 1862.
-
C.
Henri Dutetre
Henri Dutetre was one of the discoverers of the prehistoric cave site of Pech Merle in southwestern France.
-
D.
Émile Ricquier
Émile Ricquier was a French architect best known for designing the Musée de Picardie in Amiens.
-
E.
Pierre Authier
Pierre Authier is a French automotive designer best known for his work on contemporary Peugeot models, including the popular 208.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de024af32c8190a9bd1278e09564ba |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08acc36a288190ba1a5d610c365258 |
completed | May 16, 2026, 5:43 p.m. |
| NEDg | Description generation | batch_6a08adf778fc819087fa57048192829e |
completed | May 16, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08aeaf2be88190bac218c7de1544fc |
completed | May 16, 2026, 5:51 p.m. |
Created at: April 9, 2026, 10:11 p.m.