Triple
T8239398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rubyworks Records |
E192493
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Rodrigo y Gabriela |
E291923
|
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: Rodrigo y Gabriela | Statement: [Rubyworks Records, associatedAct, Rodrigo y Gabriela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rodrigo y Gabriela Context triple: [Rubyworks Records, associatedAct, Rodrigo y Gabriela]
-
A.
Rodrigo y Gabriela
chosen
Rodrigo y Gabriela are a Mexican acoustic guitar duo known for their virtuosic, rhythmically intense blend of flamenco, rock, and metal influences.
-
B.
Los Lobos
Los Lobos is an American rock band from East Los Angeles known for blending rock and roll with traditional Mexican music and for their hit cover of "La Bamba."
-
C.
Santana
Santana is a Brazilian municipality in the state of Amapá, known as an important port city in the Amazon River region.
-
D.
Santana
Santana is a municipality on the northern coast of Madeira Island in Portugal, known for its traditional thatched houses and mountainous landscapes.
-
E.
Morat
Morat is a small, lesser-known Caribbean island that forms part of Honduras’s Bay Islands archipelago.
- 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_69ca82dc8f148190a2c75a98501a7b91 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb783cce5c8190bf116704d2923ade |
completed | March 31, 2026, 7:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd350f57d48190ae2f24d136bb3eee |
completed | April 1, 2026, 3:09 p.m. |
Created at: March 30, 2026, 5:47 p.m.