Triple
T13458257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaston Doumergue |
E311290
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Doumergue
Doumergue is the surname of Gaston Doumergue, a French statesman who served as President of France in the early 20th century.
|
E1041300
|
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: Doumergue | Statement: [Gaston Doumergue, familyName, Doumergue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doumergue Context triple: [Gaston Doumergue, familyName, Doumergue]
-
A.
Villedieu
Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Hervé
Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
-
D.
Guillaumin
Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
-
E.
Meyssac
Meyssac is a small historic commune in central France’s Corrèze department, noted for its red sandstone buildings and traditional rural character.
- 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: Doumergue Triple: [Gaston Doumergue, familyName, Doumergue]
Generated description
Doumergue is the surname of Gaston Doumergue, a French statesman who served as President of France in the early 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doumergue Target entity description: Doumergue is the surname of Gaston Doumergue, a French statesman who served as President of France in the early 20th century.
-
A.
Villedieu
Villedieu is a commune in southeastern France known for its picturesque setting along the Ouvèze River in the Provence region.
-
B.
Lebrun
Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
-
C.
Hervé
Hervé is a French given name, often considered a variant of the English name Harvey, and is commonly used for males in French-speaking regions.
-
D.
Guillaumin
Guillaumin is the surname of Armand Guillaumin, a French Impressionist painter known for his vibrant landscapes and use of color.
-
E.
Meyssac
Meyssac is a small historic commune in central France’s Corrèze department, noted for its red sandstone buildings and traditional rural character.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0a75008190a508060c85f73604 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f739a001d08190ae5664c6670540e7 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b3074bc819081e30b082857c33e |
completed | May 3, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73ee5839881908ce75c57f1942b57 |
completed | May 3, 2026, 12:26 p.m. |
Created at: April 9, 2026, 9:41 p.m.