Triple
T1062502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Parker |
E22937
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Ko-Ko
"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.
|
E121972
|
NE FINISHED |
How this triple was built (4 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.
Sam Poo Kong
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
-
B.
Jingjing
Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
-
C.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
D.
Roro
Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
-
E.
Doso Doyabi
Doso Doyabi is a mountain peak located within the Snake Range in the western United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ko-Ko Triple: [Charlie Parker, notableWork, Ko-Ko]
Generated description
"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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ko-Ko Target entity description: "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.
-
A.
Sam Poo Kong
Sam Poo Kong is a historic Chinese temple complex in Semarang, Indonesia, revered as a cultural and religious site linked to the legendary admiral Zheng He.
-
B.
Jingjing
Jingjing is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, represented as a giant panda symbolizing happiness and prosperity.
-
C.
Kiko
Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
-
D.
Roro
Roro is the ISO 15924 script code assigned to the undeciphered Rongorongo script of Easter Island.
-
E.
Doso Doyabi
Doso Doyabi is a mountain peak located within the Snake Range in the western United States.
- F. None of above. chosen
Provenance (5 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f68a54819084326d87c3498252 |
completed | March 1, 2026, 10:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3bd553a08190a2014711bd1146bf |
completed | March 7, 2026, 2:53 p.m. |
| NEDg | Description generation | batch_69ac3dd441fc8190ad462aa07e9c8c9b |
completed | March 7, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3e4747908190a878ac70bd81f5fc |
completed | March 7, 2026, 3:03 p.m. |
Created at: March 1, 2026, 7:42 p.m.