Triple
T4729727
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julián Felipe |
E104975
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Julián |
E171653
|
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: Julián | Statement: [Julián Felipe, givenName, Julián]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julián Context triple: [Julián Felipe, givenName, Julián]
-
A.
Julián
chosen
Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
-
B.
Alejo
Alejo is a Spanish given name commonly used as a short form of Alejandro.
-
C.
Martín
Martín is a masculine given name of Latin origin, commonly used in Spanish-speaking countries and derived from the name Martinus, associated with the Roman god Mars.
-
D.
Eduardo
Eduardo is a masculine given name commonly used in Spanish and Portuguese-speaking countries, equivalent to the English name Edward.
-
E.
Jorge
Jorge is a masculine given name of Spanish and Portuguese origin, equivalent to George in English.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd646135c881909030c21a163cc619 |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67be28308190ae428035647fc227 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:19 p.m.