Triple
T4989203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Álvaro |
E112086
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Alvaro |
E112086
|
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: Alvaro | Statement: [Álvaro, hasVariant, Alvaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvaro Context triple: [Álvaro, hasVariant, Alvaro]
-
A.
Álvaro
chosen
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
-
B.
Álvaro Augustin
Álvaro Augustin is a Spanish film producer known for his work on acclaimed features such as the disaster drama "The Impossible."
-
C.
Rubén
Rubén is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
D.
Marcus Álvarez
Marcus Álvarez is a central fictional crime boss and founding member of the Mayans Motorcycle Club in the television series Mayans M.C.
-
E.
Diego Pol
Diego Pol is an Argentine paleontologist renowned for his work on South American dinosaurs and the discovery of several significant sauropod species.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727eae1c819085e5548faadbd162 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a2496a48190a517c92b85834db9 |
completed | March 21, 2026, 12:08 p.m. |
Created at: March 20, 2026, 1:34 p.m.