Triple
T9392845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Néstor Almendros |
E226065
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Néstor |
E729221
|
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: Néstor | Statement: [Néstor Almendros, givenName, Néstor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Néstor Context triple: [Néstor Almendros, givenName, Néstor]
-
A.
Néstor
chosen
Néstor is a masculine given name of Spanish origin, commonly used in Spanish-speaking countries.
-
B.
Héctor Julio Páride Bernabó
Héctor Julio Páride Bernabó, better known as Carybé, was an Argentine-Brazilian painter, illustrator, and sculptor renowned for his vivid depictions of Afro-Brazilian culture and the city of Salvador, Bahia.
-
C.
Sebastián
Sebastián is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Sebastián
Sebastián is a renowned Mexican sculptor celebrated for his monumental geometric public artworks.
-
E.
Ernesto
Ernesto is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
- 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_69ca842f7e3481908bf5bcf52e032dbd |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd510fec6481908b51c497744068c8 |
completed | April 1, 2026, 5:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d110214f088190a972c8534b613873 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:45 p.m.