Triple
T11398867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Varignon |
E270051
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Varignon
Varignon is the family name of Pierre Varignon, a French mathematician known for his contributions to mechanics and the early development of calculus.
|
E923661
|
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: Varignon | Statement: [Pierre Varignon, hasFamilyName, Varignon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varignon Context triple: [Pierre Varignon, hasFamilyName, Varignon]
-
A.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
B.
de Vimeur
De Vimeur is a French noble family name most notably borne by Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a key French general in the American Revolutionary War.
-
C.
Verny
Verny is the surname of Léonce Verny, a 19th-century French engineer known for helping establish Japan’s modern naval shipyards and industrial infrastructure.
-
D.
Verny
Verny was the historical name of the city now known as Almaty, a major cultural and economic center in Kazakhstan.
-
E.
Courchavon
Courchavon is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
- 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: Varignon Triple: [Pierre Varignon, hasFamilyName, Varignon]
Generated description
Varignon is the family name of Pierre Varignon, a French mathematician known for his contributions to mechanics and the early development of calculus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varignon Target entity description: Varignon is the family name of Pierre Varignon, a French mathematician known for his contributions to mechanics and the early development of calculus.
-
A.
Vauvert
Vauvert is a commune in southern France known for its location in the Gard department near the Camargue region.
-
B.
de Vimeur
De Vimeur is a French noble family name most notably borne by Jean-Baptiste Donatien de Vimeur, comte de Rochambeau, a key French general in the American Revolutionary War.
-
C.
Verny
Verny was the historical name of the city now known as Almaty, a major cultural and economic center in Kazakhstan.
-
D.
Verny
Verny is the surname of Léonce Verny, a 19th-century French engineer known for helping establish Japan’s modern naval shipyards and industrial infrastructure.
-
E.
Courchavon
Courchavon is a small municipality in the Ajoie region of the canton of Jura in northwestern Switzerland.
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001adc188190ae45227856156412 |
completed | April 9, 2026, 7:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cf75ec08190a571e5178bcde274 |
completed | April 20, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69e59774e6648190a38b2515a83c2e0c |
completed | April 20, 2026, 3:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5a3abf24481908fb71f4ef6b13532 |
completed | April 20, 2026, 3:55 a.m. |
Created at: April 8, 2026, 9:34 p.m.