Triple
T7334957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Gleizes |
E169103
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Gleizes
Gleizes is a French surname most notably associated with Albert Gleizes, a pioneering Cubist painter and theorist.
|
E660510
|
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: Gleizes | Statement: [Albert Gleizes, familyName, Gleizes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gleizes Context triple: [Albert Gleizes, familyName, Gleizes]
-
A.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
C.
Gressy
Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
-
D.
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
E.
Vendroux
Vendroux is the maiden family name of Yvonne de Gaulle, the wife of former French president Charles de Gaulle.
- 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: Gleizes Triple: [Albert Gleizes, familyName, Gleizes]
Generated description
Gleizes is a French surname most notably associated with Albert Gleizes, a pioneering Cubist painter and theorist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gleizes Target entity description: Gleizes is a French surname most notably associated with Albert Gleizes, a pioneering Cubist painter and theorist.
-
A.
Lantheuil
Lantheuil is a small commune in the Calvados department of the Normandy region in northwestern France.
-
B.
Drouet
Drouet is a French surname most notably associated with Jean-Baptiste Drouet, the postmaster who helped identify and arrest King Louis XVI during his attempted flight in 1791.
-
C.
Gressy
Gressy is a small French commune located in the Île-de-France region, known for its residential character and proximity to Paris and Charles de Gaulle Airport.
-
D.
Moulinois
Moulinois is the French term for an inhabitant or native of the town of Moulins in central France.
-
E.
Vendroux
Vendroux is the maiden family name of Yvonne de Gaulle, the wife of former French president Charles de Gaulle.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c38d6c81908a57ef1eea0e4951 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802b032308190875b82c3ad169829 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c806ea37308190983e3e216bba07d2 |
completed | March 28, 2026, 4:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c80748a4d8819094e8e1b9994a1b5a |
completed | March 28, 2026, 4:52 p.m. |
Created at: March 27, 2026, 3:04 p.m.