Triple
T6706093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jules |
E153007
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Julio |
E118356
|
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: Julio | Statement: [Jules, hasVariantForm, Julio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Julio Context triple: [Jules, hasVariantForm, Julio]
-
A.
Julio
chosen
Julio is the given name of Julio Antonio Mella, a prominent early 20th-century Cuban communist leader and co-founder of the Cuban Communist Party.
-
B.
Julián
Julián is a given name of Latin origin, commonly used in Spanish-speaking countries as a variant of Julian.
-
C.
Ambrosio
Ambrosio is the devout yet ultimately corrupt and tragic monastic protagonist of Matthew Gregory Lewis’s Gothic novel "The Monk."
-
D.
Eugenio
Eugenio is a masculine given name of Greek origin, commonly used in Spanish- and Italian-speaking countries.
-
E.
Gregorio
Gregorio is a masculine given name of Latin origin, commonly used in Spanish and Italian-speaking cultures and derived from the name Gregory.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0ea8cfc819081affc73603c2cf3 |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70088916881908dda568d3116216f |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:06 p.m.