Triple
T19804186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bert Anciaux |
E475766
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Anciaux
Anciaux is a Belgian surname most notably associated with politician Bert Anciaux.
|
E1405163
|
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: Anciaux | Statement: [Bert Anciaux, familyName, Anciaux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anciaux Context triple: [Bert Anciaux, familyName, Anciaux]
-
A.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
B.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
C.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
D.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
E.
Chambois
Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
- 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: Anciaux Triple: [Bert Anciaux, familyName, Anciaux]
Generated description
Anciaux is a Belgian surname most notably associated with politician Bert Anciaux.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anciaux Target entity description: Anciaux is a Belgian surname most notably associated with politician Bert Anciaux.
-
A.
Tatihou
Tatihou is a small French island off the coast of Normandy known for its historic Vauban fortifications, maritime museum, and rich coastal birdlife.
-
B.
Assencières
Assencières is a small commune in the Aube department of north-central France.
-
C.
Leschaux
Leschaux is a small commune in the Haute-Savoie department of southeastern France, situated in the Alps near the Semnoz massif.
-
D.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
E.
Chambois
Chambois is a small town in Normandy, France, best known as a key site of the decisive encirclement and defeat of German forces during the 1944 Falaise Pocket in World War II.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654266e18819085698aed8b0e2ba8 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0804ea926881909fd95ca97fd373a0 |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a08060edb8481908d000dc5e9bc824e |
completed | May 16, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0806c7c6f8819090fdd3052ade4074 |
completed | May 16, 2026, 5:55 a.m. |
Created at: April 10, 2026, 1:49 p.m.