Triple
T12000485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippe Soupault |
E285645
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Soupault
Soupault is a French surname most notably borne by Philippe Soupault, a pioneering poet and co-founder of the Surrealist movement.
|
E959017
|
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: Soupault | Statement: [Philippe Soupault, familyName, Soupault]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soupault Context triple: [Philippe Soupault, familyName, Soupault]
-
A.
Montgeron
Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
-
B.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
C.
Villebon
Villebon is a commune in northern France historically noted as the place where influential statesman Maximilien de Béthune, Duke of Sully, died.
-
D.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
E.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
- 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: Soupault Triple: [Philippe Soupault, familyName, Soupault]
Generated description
Soupault is a French surname most notably borne by Philippe Soupault, a pioneering poet and co-founder of the Surrealist movement.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soupault Target entity description: Soupault is a French surname most notably borne by Philippe Soupault, a pioneering poet and co-founder of the Surrealist movement.
-
A.
Montgeron
Montgeron is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location within the Essonne department in the Île-de-France region.
-
B.
Magnicourt
Magnicourt is a small French commune located in the Aube department in the Grand Est region of northeastern France.
-
C.
Villebon
Villebon is a commune in northern France historically noted as the place where influential statesman Maximilien de Béthune, Duke of Sully, died.
-
D.
Muriaux
Muriaux is a small municipality located in the Franches-Montagnes district of the canton of Jura in northwestern Switzerland.
-
E.
Tiffauges
Tiffauges is a historic commune in western France, known for its medieval castle and scenic setting along the Sèvre Nantaise river.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
| NEDg | Description generation | batch_69f47b7e4a40819085680c48eed5418a |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47df40a8c8190bd7350ba27f57214 |
completed | May 1, 2026, 10:18 a.m. |
Created at: April 8, 2026, 9:46 p.m.