Triple
T8544821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernabé Martí |
E202291
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bernabé |
E618824
|
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: Bernabé | Statement: [Bernabé Martí, givenName, Bernabé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bernabé Context triple: [Bernabé Martí, givenName, Bernabé]
-
A.
Bernabé
chosen
Bernabé is the Spanish given name of former New York Yankees All-Star center fielder Bernie Williams.
-
B.
Basilio
Basilio is the King of Poland in Calderón de la Barca’s play "La vida es sueño," whose fatalistic decisions about his son’s destiny drive the central conflict of the drama.
-
C.
Graciano
Graciano is a dark-skinned Spanish wine grape variety known for producing deeply colored, aromatic, and age-worthy red wines, particularly in blends from regions like Rioja.
-
D.
Fermín
Fermín is a Spanish given name, historically borne by figures such as missionaries and saints in the Spanish-speaking world.
-
E.
Gaspar
Gaspar is the given name of Gaspar de Guzmán, Count-Duke of Olivares, a powerful 17th-century Spanish royal favorite and statesman under King Philip IV.
- 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_69ca832461e88190a654c5e44e233aa8 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6e4e21c8190afcbca73713a5fa8 |
completed | March 31, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8924e3348190b7c8911e574d1cd0 |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:18 p.m.