Triple
T20335704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gipsy Kings |
E492605
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Volare |
—
|
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: Volare | Statement: [Gipsy Kings, notableWork, Volare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volare Context triple: [Gipsy Kings, notableWork, Volare]
-
A.
Volare
chosen
"Volare" is a popular song famously covered by British tenor Russell Watson, showcasing his classical crossover vocal style.
-
B.
Vivere
"Vivere" is a popular Italian song best known for Andrea Bocelli’s rendition, celebrating the joy and passion of living.
-
C.
O Sole Mio
"O Sole Mio" is a famous Neapolitan song, widely recognized as a classic of Italian music and frequently performed by renowned opera singers and vocal ensembles.
-
D.
Mio Amore
"Mio Amore" is a doo-wop song by The Flamingos, known for its smooth harmonies and romantic style characteristic of the group's classic sound.
-
E.
Tempo Giusto
Tempo Giusto is a Finnish trance music producer and DJ known for his driving, tech-infused trance sound and releases on major electronic dance music labels.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677eb4d5881908ea5ec5a1dd7eafa |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.