Triple
T19181882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georges Guingouin |
E469593
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Magnac-Laval
Magnac-Laval is a small commune in the Haute-Vienne department of west-central France, known for its rural character and traditional Limousin heritage.
|
E1362787
|
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: Magnac-Laval | Statement: [Georges Guingouin, placeOfBirth, Magnac-Laval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magnac-Laval Context triple: [Georges Guingouin, placeOfBirth, Magnac-Laval]
-
A.
de Laval
De Laval is a French noble family name historically associated with Breton and French aristocracy.
-
B.
Clerget-Blin
Clerget-Blin was a French engineering company best known for manufacturing aircraft engines, particularly rotary engines used during World War I.
-
C.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
D.
Nucourt
Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Ruland
Ruland is a surname most notably associated with former professional basketball player and coach Jeff Ruland.
- 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: Magnac-Laval Triple: [Georges Guingouin, placeOfBirth, Magnac-Laval]
Generated description
Magnac-Laval is a small commune in the Haute-Vienne department of west-central France, known for its rural character and traditional Limousin heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magnac-Laval Target entity description: Magnac-Laval is a small commune in the Haute-Vienne department of west-central France, known for its rural character and traditional Limousin heritage.
-
A.
de Laval
De Laval is a French noble family name historically associated with Breton and French aristocracy.
-
B.
Clerget-Blin
Clerget-Blin was a French engineering company best known for manufacturing aircraft engines, particularly rotary engines used during World War I.
-
C.
Balard
Balard is a Paris Métro station in the 15th arrondissement, serving as a key transport hub near the Parc des Expositions and several major administrative and military sites.
-
D.
Nucourt
Nucourt is a small commune in the Val-d'Oise department in the Île-de-France region of northern France.
-
E.
Ruland
Ruland is a surname most notably associated with former professional basketball player and coach Jeff Ruland.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61cab348190965e96ac0f701f9f |
completed | April 20, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f8b6210481908d9c56fc02cf42fb |
completed | May 15, 2026, 10:43 a.m. |
| NEDg | Description generation | batch_6a06f987d3e88190ade6412afd3e1426 |
completed | May 15, 2026, 10:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a06fa6c6e5481909beb3a33517264f3 |
completed | May 15, 2026, 10:50 a.m. |
Created at: April 10, 2026, 12:07 p.m.