Triple
T9291716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matisse cut-outs |
E223533
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jazz |
E42946
|
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: Jazz | Statement: [Matisse cut-outs, notableWork, Jazz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jazz Context triple: [Matisse cut-outs, notableWork, Jazz]
-
A.
Jazz
chosen
Jazz is a celebrated illustrated book by Henri Matisse featuring vibrant color paper cut-outs that exemplify his late-career artistic style.
-
B.
Jazz
Jazz is a genre of music characterized by swing, improvisation, complex harmonies, and roots in African American musical traditions.
-
C.
Jazz
"Jazz" is a 1992 novel by Toni Morrison that explores love, violence, and memory in 1920s Harlem through a narrative style inspired by the improvisational rhythms of jazz music.
-
D.
Jazz
Jazz is a recurring comic character on the sitcom "The Fresh Prince of Bel-Air," known as Will Smith’s best friend who is frequently thrown out of the Banks’ house.
-
E.
JAZZ
JAZZ is the abbreviated name of Jazz Gaming, an esports organization associated with the NBA’s Utah Jazz.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0866ff608190a07afac4afd0ec09 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2381e2c8190acbecf97dea1200c |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:35 p.m.