Triple
T22299930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gilberto Santa Rosa |
E551226
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Sony Discos |
—
|
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: Sony Discos | Statement: [Gilberto Santa Rosa, recordLabel, Sony Discos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sony Discos Context triple: [Gilberto Santa Rosa, recordLabel, Sony Discos]
-
A.
Sony Discos
chosen
Sony Discos was Sony Music’s Latin music label, known for producing and distributing albums by major Latin artists across genres like pop, rock, and regional music.
-
B.
JVC Records
JVC Records is a Japanese record label known for producing and distributing a wide range of music, including jazz and pop, as part of the Victor Company of Japan (JVC).
-
C.
Brando Records
Brando Records is an independent music label known for working with alternative rock acts such as Blue October.
-
D.
Sonic Records
Sonic Records is a music recording label known for producing and distributing artists such as Crystals.
-
E.
Groove Records
Groove Records is a record label known for releasing notable mid-20th-century popular music, including influential rock and roll and R&B recordings.
- 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_69e11e46c0188190800181a4233f28fe |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1572399148190853c4e91fcf9f38c |
completed | April 29, 2026, 12:56 a.m. |
Created at: April 16, 2026, 8:41 p.m.