Triple
T10929669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José María Iglesias |
E258166
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | José María Iglesias |
E258166
|
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 Iglesias | Statement: [José María Iglesias, name, José María Iglesias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: José María Iglesias Context triple: [José María Iglesias, name, José María Iglesias]
-
A.
José María Iglesias
chosen
José María Iglesias was a 19th-century Mexican lawyer, politician, and briefly self-proclaimed president, known for his role in liberal reforms and opposition during the turbulent post-Reform War era.
-
B.
Rubén Iglesias
Rubén Iglesias is a personal name borne by various individuals, most commonly in Spanish-speaking countries.
-
C.
Alberto Iglesias
Alberto Iglesias is an acclaimed Spanish film composer known for his evocative scores for directors such as Pedro Almodóvar and for multiple Academy Award–nominated soundtracks.
-
D.
Eduard Fernández
Eduard Fernández is a Spanish actor known for his intense and versatile performances in film, television, and theater.
-
E.
Fernando García
Fernando García is a common Spanish personal name shared by numerous individuals across fields such as sports, arts, and public life.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709eb0ec819093f7d3f99097bbe4 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e3185fc81908c1b838e6883de2f |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:22 p.m.