Triple
T19448593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvarito |
E486550
|
entity |
| Predicate | diminutiveFormOf |
P456
|
FINISHED |
| Object | Álvaro |
—
|
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: Álvaro | Statement: [Alvarito, diminutiveFormOf, Álvaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Álvaro Context triple: [Alvarito, diminutiveFormOf, Álvaro]
-
A.
Álvaro
chosen
Álvaro is a masculine given name of Spanish origin commonly used in Spain and Latin America.
-
B.
Hugo Reyes
Hugo Reyes, nicknamed "Hurley," is a beloved, good-natured lottery winner and survivor from the television series Lost, known for his humor, compassion, and struggles with bad luck.
-
C.
Javier
Javier is a masculine given name of Spanish origin commonly used in Spanish-speaking countries and beyond.
-
D.
Jorge
Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
-
E.
Jorge
Jorge is a central figure in Eça de Queirós’s realist novel "O Primo Basílio," embodying the bourgeois husband whose domestic life is upended by his wife’s adulterous affair.
- 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_69d8e8d7ad488190a3373045029b0f3b |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6338be5a48190973d9ecae853900c |
completed | April 20, 2026, 2:09 p.m. |
Created at: April 10, 2026, 1:38 p.m.