Triple
T9316475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alain Glavieux |
E224133
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Glavieux
Glavieux is a French surname most notably associated with Alain Glavieux, a prominent engineer known for his contributions to error-correcting codes.
|
E791725
|
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: Glavieux | Statement: [Alain Glavieux, familyName, Glavieux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glavieux Context triple: [Alain Glavieux, familyName, Glavieux]
-
A.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
B.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
C.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
D.
Rendeux
Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
-
E.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
- 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: Glavieux Triple: [Alain Glavieux, familyName, Glavieux]
Generated description
Glavieux is a French surname most notably associated with Alain Glavieux, a prominent engineer known for his contributions to error-correcting codes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glavieux Target entity description: Glavieux is a French surname most notably associated with Alain Glavieux, a prominent engineer known for his contributions to error-correcting codes.
-
A.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
B.
Marloie
Marloie is a village in the Walloon region of Belgium known for its railway station on the Brussels–Luxembourg line.
-
C.
Taradeau
Taradeau is a small commune in the Var department of southeastern France, known for its Provençal countryside, vineyards, and proximity to the Massif des Maures.
-
D.
Rendeux
Rendeux is a small rural municipality and village in the Ardennes region of Belgium, known for its natural landscapes and outdoor tourism.
-
E.
Noailles
Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7b73ff881909e936374fd90a822 |
completed | April 4, 2026, 8:11 a.m. |
| NEDg | Description generation | batch_69d0ca049fdc819091e101d8cdcfb7e8 |
completed | April 4, 2026, 8:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0cc6239108190b921eface5cdd543 |
completed | April 4, 2026, 8:31 a.m. |
Created at: March 30, 2026, 7:37 p.m.