Triple
T20015232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amore |
E494698
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Sugar Music |
—
|
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: Sugar Music | Statement: [Amore, recordLabel, Sugar Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugar Music Context triple: [Amore, recordLabel, Sugar Music]
-
A.
Sugar Music
chosen
Sugar Music is an Italian record label known for producing and promoting prominent Italian artists and successful pop and classical crossover releases.
-
B.
Soul music
Soul music is a genre that blends gospel, rhythm and blues, and jazz influences into a deeply emotive, vocal-driven style that emerged in African American communities in the 1950s and 1960s.
-
C.
Rhythm and blues
Rhythm and blues is a genre of popular music that originated in African American communities in the 1940s, blending elements of jazz, gospel, and blues into a soulful, danceable style.
-
D.
Rock 'n Soul
"Rock 'n Soul" is a 1964 album by American singer Solomon Burke that showcases his influential blend of gospel-rooted soul and rhythm and blues.
-
E.
Swing
Swing is a Java-based GUI toolkit that provides a rich set of components for building platform-independent desktop applications.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6623bba1881908440c92f08729ec1 |
completed | April 20, 2026, 5:28 p.m. |
Created at: April 11, 2026, 3:34 p.m.