Triple
T10205418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris Vian |
E242179
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vian |
E63875
|
NE FINISHED |
How this triple was built (2 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: Vian | Statement: [Boris Vian, familyName, Vian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vian Context triple: [Boris Vian, familyName, Vian]
-
A.
Vian
chosen
Vian is a surname most notably associated with British Royal Navy Admiral Philip Vian, who served with distinction during both World Wars.
-
B.
Vianí
Vianí is a municipality and town in the Gualivá Province of the Cundinamarca Department in central Colombia.
-
C.
Valette
Valette is a French surname most notably associated with Pierre-Adolphe Valette, an influential early 20th-century Impressionist painter and teacher in Manchester.
-
D.
Verny
Verny was the historical name of the city now known as Almaty, a major cultural and economic center in Kazakhstan.
-
E.
Vénéon
Vénéon is a mountain river in the French Alps known for its glacial waters and scenic valley in the Écrins massif.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d395f6298c8190a4a0ad9770f10e80 |
completed | April 6, 2026, 11:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d652b489608190b844e1199e6126ce |
completed | April 8, 2026, 1:05 p.m. |
Created at: April 6, 2026, 10:44 a.m.