Triple
T2836409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Mollet |
E62362
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Mollet
Mollet is a French surname most notably borne by Guy Mollet, a mid-20th-century French socialist politician and former Prime Minister.
|
E303470
|
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: Mollet | Statement: [Guy Mollet, familyName, Mollet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mollet Context triple: [Guy Mollet, familyName, Mollet]
-
A.
Molles
Molles is a small commune in central France, located in the Allier department within the Auvergne-Rhône-Alpes region.
-
B.
Balma
Balma is a suburban commune in southwestern France located just east of Toulouse in the Occitanie region.
-
C.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
-
D.
Bruniales
Bruniales is an order of flowering plants within the asterid clade, comprising mainly woody shrubs and trees such as those in the families Bruniaceae and Columelliaceae.
-
E.
Redonda
Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
- 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: Mollet Triple: [Guy Mollet, familyName, Mollet]
Generated description
Mollet is a French surname most notably borne by Guy Mollet, a mid-20th-century French socialist politician and former Prime Minister.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mollet Target entity description: Mollet is a French surname most notably borne by Guy Mollet, a mid-20th-century French socialist politician and former Prime Minister.
-
A.
Molles
Molles is a small commune in central France, located in the Allier department within the Auvergne-Rhône-Alpes region.
-
B.
Balma
Balma is a suburban commune in southwestern France located just east of Toulouse in the Occitanie region.
-
C.
Molinero
Molinero is a Spanish surname that corresponds to the German surname Müller, both historically referring to the occupation of a miller.
-
D.
Bruniales
Bruniales is an order of flowering plants within the asterid clade, comprising mainly woody shrubs and trees such as those in the families Bruniaceae and Columelliaceae.
-
E.
Redonda
Redonda is a small, uninhabited rocky island in the Caribbean Sea that forms part of the nation of Antigua and Barbuda.
- 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdeec60a08190b76b52042713d647 |
completed | March 7, 2026, 8:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe8c890508190868f50f4e5e1d642 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afe9ba068881908727c82d5eddb974 |
completed | March 10, 2026, 9:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b00412e7448190898050f18f64ea9a |
completed | March 10, 2026, 11:44 a.m. |
Created at: March 6, 2026, 10:01 p.m.