Triple
T4568500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Parker |
E121970
|
entity |
| Predicate | notableWork |
P4
|
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: [Charlie Parker, notableWork, Ko-Ko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ko-Ko Context triple: [Charlie Parker, notableWork, 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.
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.
-
D.
Lili
Lili is the official mascot character created for the 2017 World Aquatics Championships held in Budapest.
-
E.
Bunny Lee
Bunny Lee was a pioneering Jamaican record producer and key architect of the reggae and dub sound from the late 1960s onward.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58a0dfbc81909b5023f0c29addaf |
completed | March 20, 2026, 2:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdd3bf54448190a7e65cee1a5c48e3 |
completed | March 20, 2026, 11:09 p.m. |
Created at: March 20, 2026, 1:10 p.m.