Triple
T13986325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amontillado |
E336449
|
entity |
| Predicate | relatedStyle |
P8654
|
FINISHED |
| Object | Manzanilla |
E338613
|
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: Manzanilla | Statement: [Amontillado, relatedStyle, Manzanilla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manzanilla Context triple: [Amontillado, relatedStyle, Manzanilla]
-
A.
Manzanilla
chosen
Manzanilla is a dry, pale Spanish fino-style sherry wine traditionally produced and aged in the coastal town of Sanlúcar de Barrameda.
-
B.
Figueira Seca
Figueira Seca is a small village located on the island of Maio in Cape Verde.
-
C.
La Manzanilla
La Manzanilla is a small coastal village in Jalisco, Mexico, known for its tranquil beaches, laid-back atmosphere, and nearby mangrove estuary with crocodiles.
-
D.
Granadina
Granadina is the Spanish term used to refer to a female inhabitant or native of the city of Granada in Spain.
-
E.
Cerezo
Cerezo is a Spanish surname most notably associated with Enrique Cerezo, a prominent film producer and president of Atlético Madrid.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac942ba481908858d7f214085b5f |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:18 p.m.