Triple
T2690475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Arista |
E57588
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mariano |
E119168
|
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: Mariano | Statement: [Mariano Arista, givenName, Mariano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariano Context triple: [Mariano Arista, givenName, Mariano]
-
A.
Mariano
chosen
Mariano is a masculine given name of Spanish and Portuguese origin, commonly used in various Spanish-speaking and Latin cultures.
-
B.
Mariano Osorio
Mariano Osorio was a Spanish military officer best known for leading royalist forces against Chilean patriots during the Chilean War of Independence.
-
C.
Mariano Casanova
Mariano Casanova was a Chilean Catholic archbishop and influential church leader known for his role in shaping modern Catholic education in Chile.
-
D.
Juan Manuel de Ayala
Juan Manuel de Ayala was an 18th-century Spanish naval officer and explorer credited with one of the first European chartings of San Francisco Bay.
-
E.
Teodoro
Teodoro is a given name, commonly used in Romance-language countries, that corresponds to the English name Theodore.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afce8317fc8190ab3736b950b92495 |
completed | March 10, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:54 p.m.