Triple
T6457447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José María Aznar |
E142028
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | José María |
E141821
|
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: José María | Statement: [José María Aznar, givenName, José María]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José María Context triple: [José María Aznar, givenName, José María]
-
A.
José María
chosen
José María is the given name of José María Morelos y Pavón, a key leader and hero of the Mexican War of Independence.
-
B.
José María Cos
José María Cos was a Mexican priest, politician, and prominent insurgent leader in the early stages of Mexico’s War of Independence.
-
C.
José María Sicilia
José María Sicilia is a prominent contemporary Spanish artist known for his poetic, abstract works that explore light, nature, and memory.
-
D.
Fernando Vérgez Alzaga
Fernando Vérgez Alzaga is a Spanish Catholic prelate and cardinal who serves in senior administrative leadership within the Vatican.
-
E.
José Fernando de Abascal
José Fernando de Abascal was a Spanish colonial administrator and Viceroy of Peru who became a leading royalist figure in suppressing independence movements in South America in the early 19th century.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d639ec8190bb0a806da4118440 |
completed | March 22, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6637ffa648190b39e9721c9a7c092 |
completed | March 27, 2026, 11:01 a.m. |
Created at: March 22, 2026, 4:48 p.m.