Triple
T11043639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierre Viret |
E261081
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Viret
Viret is a French-language surname most notably associated with the 16th-century Swiss Reformed theologian Pierre Viret.
|
E901013
|
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: Viret | Statement: [Pierre Viret, familyName, Viret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Viret Context triple: [Pierre Viret, familyName, Viret]
-
A.
Nepela
Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
-
B.
Vitus
Vitus is a masculine given name of Latin origin, historically associated with the Christian saint and later borne by notable figures such as explorer Vitus Bering.
-
C.
Val Venosta
Val Venosta is a valley in South Tyrol in northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
-
D.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
E.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
- 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: Viret Triple: [Pierre Viret, familyName, Viret]
Generated description
Viret is a French-language surname most notably associated with the 16th-century Swiss Reformed theologian Pierre Viret.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Viret Target entity description: Viret is a French-language surname most notably associated with the 16th-century Swiss Reformed theologian Pierre Viret.
-
A.
Nepela
Nepela is a Slovak surname most notably associated with Ondrej Nepela, an Olympic and world champion figure skater.
-
B.
Vitus
Vitus is a masculine given name of Latin origin, historically associated with the Christian saint and later borne by notable figures such as explorer Vitus Bering.
-
C.
Val Venosta
Val Venosta is a valley in South Tyrol in northern Italy, known for its alpine landscapes, apple orchards, and mix of Italian and German-speaking culture.
-
D.
Dannhauser
Dannhauser is a small town and local municipality in KwaZulu-Natal, South Africa, known historically for coal mining and agriculture.
-
E.
Rutishauser
Rutishauser is a Swiss surname most notably associated with Heinz Rutishauser, a pioneering mathematician and computer scientist in the field of numerical analysis and early programming languages.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7982d42bc81908ac10f54a7b43fb7 |
completed | April 9, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9f180688190ab2d1142b30a2836 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad024ee88190948d5d1c327fd063 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b206c7a4819087eb06faa6e1af21 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.