Triple
T15408066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yves |
E368514
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Yvon |
E368514
|
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: Yvon | Statement: [Yves, hasVariant, Yvon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yvon Context triple: [Yves, hasVariant, Yvon]
-
A.
Yves
chosen
Yves is a masculine given name of French origin commonly used in Francophone countries.
-
B.
Yvette
Yvette is the given first name of the acclaimed American singer Chaka Khan.
-
C.
Yvette
Yvette is a river in northern France that flows through the Île-de-France region and serves as a tributary of the Orge.
-
D.
Maurin
Maurin is a French surname most notably associated with Peter Maurin, the co-founder of the Catholic Worker Movement.
-
E.
Jane Avril
Jane Avril is a famous poster by French artist Henri de Toulouse-Lautrec depicting the celebrated can-can dancer of the Moulin Rouge.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea36c6881909eaea48e9608897a |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135bcb5c8190a1f43c6bb6a0e53c |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.