Triple
T13589482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villani |
E324653
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Villanis |
E324653
|
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: Villanis | Statement: [Villani, hasVariant, Villanis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villanis Context triple: [Villani, hasVariant, Villanis]
-
A.
Vilaine
The Vilaine is a major river in western France that flows through the city of Rennes before emptying into the Atlantic Ocean.
-
B.
Villani
chosen
Villani is the surname of Cédric Villani, a renowned French mathematician and Fields Medal laureate known for his work in partial differential equations and mathematical physics.
-
C.
Theotar the Mad Duke
Theotar the Mad Duke is an eccentric Venthyr noble in World of Warcraft: Shadowlands, known for his theatrical personality and role as a prominent soulbind within the Revendreth covenant.
-
D.
Manceau
Manceau is the French term used to refer to an inhabitant or native of the city of Le Mans.
-
E.
Reynard
Reynard is a traditional European folkloric fox character, especially prominent in medieval tales as a clever trickster figure.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.