Triple
T23022801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matias de Albuquerque |
E573212
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Matias |
—
|
NE NERFINISHED |
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: Matias | Statement: [Matias de Albuquerque, givenName, Matias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matias Context triple: [Matias de Albuquerque, givenName, Matias]
-
A.
Matias
chosen
Matias is a masculine given name of Hebrew origin, related to names like Mateo and Matthew, commonly used in Spanish- and Portuguese-speaking countries.
-
B.
Cristián
Cristián is a given name, commonly used in Spanish-speaking countries as a variant of Cristian or Christian.
-
C.
Jacobo
Jacobo is a given name, commonly used in Spanish-speaking cultures, that is related to or derived from the name Jaime.
-
D.
Sebastián
Sebastián is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
E.
Sebastián
Sebastián is a renowned Mexican sculptor celebrated for his monumental geometric public artworks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b821008190b0e09cb02092aae1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f183ea23088190b2f42d9bf01514ac |
completed | April 29, 2026, 4:07 a.m. |
Created at: April 17, 2026, 3:52 p.m.