Triple
T8676712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L’heure espagnole |
E205932
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Ramiro |
E487819
|
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: Ramiro | Statement: [L’heure espagnole, character, Ramiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramiro Context triple: [L’heure espagnole, character, Ramiro]
-
A.
Ramiro
chosen
Ramiro is a masculine given name of Spanish and Portuguese origin, historically borne by several medieval kings and nobles in the Iberian Peninsula.
-
B.
Gutierre
Gutierre is a Spanish given name, historically used in medieval Iberia and related to names like Walter.
-
C.
Raimundo
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
-
D.
Romero y Galdámez
Romero y Galdámez is the compound surname of Óscar Romero, the Salvadoran archbishop and martyr renowned for his advocacy for social justice and human rights.
-
E.
Guillermo
Guillermo is the Spanish form of the given name William, commonly used in Spanish-speaking countries.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f67cdc819092d1ca541c6d22b9 |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.