Triple
T19008904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfredo Kindelán |
E465164
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alfredo Kindelán |
—
|
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: Alfredo Kindelán | Statement: [Alfredo Kindelán, name, Alfredo Kindelán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alfredo Kindelán Context triple: [Alfredo Kindelán, name, Alfredo Kindelán]
-
A.
Alfredo Kindelán
chosen
Alfredo Kindelán was a Spanish military officer and pioneering aviator who became one of the leading air force commanders on the Nationalist side during the Spanish Civil War.
-
B.
Tomás Pliego
Tomás Pliego is a film producer known for his work on the adventure-comedy movie "The Lost City."
-
C.
Isidro Casanova
Isidro Casanova is a populous working-class city in the Greater Buenos Aires metropolitan area of Argentina.
-
D.
Avelino Cañizares
Avelino Cañizares was a Cuban infielder who played in the Negro Leagues, notably contributing his talents to the Cleveland Buckeyes.
-
E.
Isidro Ayora
Isidro Ayora is a town in Ecuador that serves as the administrative center of the surrounding Isidro Ayora Canton.
- 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_69d8dd025c188190a1d81f5b4ec7e2c6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a72aa88190a04f13cd14ee77d4 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:02 p.m.