Triple
T4455681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miguel Domínguez |
E97715
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Miguel Domínguez |
E97715
|
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: Miguel Domínguez | Statement: [Miguel Domínguez, name, Miguel Domínguez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Miguel Domínguez Context triple: [Miguel Domínguez, name, Miguel Domínguez]
-
A.
Miguel Domínguez
chosen
Miguel Domínguez was a Mexican lawyer and colonial official best known for his role in the early independence movement alongside his wife, Josefa Ortiz de Domínguez.
-
B.
Diego Méndez
Diego Méndez was a Spanish architect best known for co-designing the monumental Franco-era basilica and memorial complex at the Valle de los Caídos near Madrid.
-
C.
Miguel Ángel Suárez
Miguel Ángel Suárez was a Puerto Rican actor known for his work in film, television, and theater, including roles in major Hollywood productions.
-
D.
Frank Dominguez
Frank Dominguez is an entrepreneur best known as a founder of the cloud-based software company Salesforce.
-
E.
Miguel Barragán
Miguel Barragán was a 19th-century Mexican politician and military leader who briefly served as president of Mexico during a period of intense political instability.
- 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_69b3454777808190b78aa9047ba1f018 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355f79ca481909338dda9f4f7171f |
completed | March 13, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba400cd88190a2348ec3ac6b711e |
completed | March 21, 2026, 3:33 p.m. |
Created at: March 12, 2026, 11:33 p.m.