Triple
T6621755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Savoy Records |
E149689
|
entity |
| Predicate | catalogIncludes |
P1393
|
FINISHED |
| Object | Ko-Ko |
E121972
|
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: Ko-Ko | Statement: [Savoy Records, catalogIncludes, Ko-Ko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko-Ko Context triple: [Savoy Records, catalogIncludes, Ko-Ko]
-
A.
Ko-Ko
chosen
"Ko-Ko" is a landmark 1945 bebop recording by saxophonist Charlie Parker, renowned for its blistering tempo, complex improvisation, and foundational influence on modern jazz.
-
B.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
C.
Chi-chung
Chi-chung is an alternative romanized spelling of the Chinese given name commonly written as Zhizhong.
-
D.
Lili
Lili is a 1953 musical fantasy film starring Leslie Caron as a naive orphan who joins a carnival and forms a touching bond with a puppeteer.
-
E.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af7ccaa481908b383b4fd671fa78 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e448b00081908b336a2bd7fb3820 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:58 p.m.