Triple
T18447312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zénaïde |
E450689
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Zenaida |
—
|
NE NERFINISHED |
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: Zenaida | Statement: [Zénaïde, hasVariant, Zenaida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zenaida Context triple: [Zénaïde, hasVariant, Zenaida]
-
A.
Zenaida
chosen
Zenaida is a feminine given name used in various cultures, derived from the Greek name Zenais meaning "of Zeus" or "belonging to Zeus."
-
B.
Zenaida macroura
Zenaida macroura is the mourning dove, a widespread North American bird species known for its soft, mournful cooing and slender, long-tailed appearance.
-
C.
Columbina
Columbina is a clever and flirtatious maid character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s witty counterpart and love interest.
-
D.
Eleonora
Eleonora is a given name notably borne by Ulrika Eleonora of Sweden, a queen consort and later queen regnant in the late 17th and early 18th centuries.
-
E.
Pájara
Pájara is a coastal municipality on the southwestern part of Fuerteventura in Spain’s Canary Islands, known for its extensive beaches and tourist resorts such as Costa Calma and Morro Jable.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52645cb88819086b0e70b6613edcd |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.