Triple
T13621284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raymundo |
E325459
|
entity |
| Predicate | isRelatedFormOf |
P21674
|
FINISHED |
| Object | Raimundo |
E322531
|
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: Raimundo | Statement: [Raymundo, isRelatedFormOf, Raimundo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raimundo Context triple: [Raymundo, isRelatedFormOf, Raimundo]
-
A.
Raimundo
chosen
Raimundo is a masculine given name of Spanish and Portuguese origin, related to the name Ramón and ultimately derived from the Germanic name Raymond.
-
B.
Miramón
Miramón is a Spanish surname most notably associated with Miguel Miramón, a 19th-century Mexican general and conservative president.
-
C.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
-
D.
Timoteo
Timoteo is a masculine given name, commonly used in Romance-language countries, derived from the biblical name Timothy.
-
E.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0b0c9008190836242da2d6a8cbe |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6fb2b708190ae6e36bfb93f8bdd |
completed | May 3, 2026, 10:06 p.m. |
Created at: April 9, 2026, 9:50 p.m.