Triple
T15537678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufino |
E370391
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object | Rufino |
E1014338
|
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: Rufino | Statement: [Rufino, hasName, Rufino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rufino Context triple: [Rufino, hasName, Rufino]
-
A.
Rufino
chosen
Rufino is a masculine given name, commonly used in Spanish and Portuguese, that is cognate with the Latin-derived name Rufus.
-
B.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Ignacio
Ignacio is a small unincorporated community in Marin County, California, located near the city of Novato.
-
D.
Elicio
Elicio is a shepherd and one of the principal pastoral protagonists in Miguel de Cervantes’ early novel "La Galatea."
-
E.
Alfrédo
Alfrédo is a given name, likely a variant or cognate of "Alfred" or "Alfredo," used as a personal male first name in various languages.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0442f3c688190a599165e526af2ed |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56bdbca08190b5eb541c5eb4bb09 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:06 a.m.