Triple
T9944329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cydel Charles Young |
E194164
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | CyHi |
E184888
|
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: CyHi | Statement: [Cydel Charles Young, stageName, CyHi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CyHi Context triple: [Cydel Charles Young, stageName, CyHi]
-
A.
CyHi
chosen
CyHi is an American rapper and songwriter from Georgia known for his lyrical prowess, collaborations with Kanye West, and contributions to G.O.O.D. Music projects.
-
B.
CHy
CHy is the commonly used abbreviation for the World Meteorological Organization’s Commission for Hydrology, which coordinates international efforts in hydrological science and water resources management.
-
C.
CYHM
CYHM is the ICAO airport code for John C. Munro Hamilton International Airport in Hamilton, Ontario, Canada.
-
D.
CSH
CSH is an abbreviation commonly used for the College of Science and Health, an academic division focused on scientific and health-related disciplines.
-
E.
CSH
CSH is the ICAO airline designator used to identify Shanghai Airlines in international aviation operations.
- 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_69ca82e409348190a393777356b80a2a |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb613fbb48190b82a06987310cc96 |
completed | April 2, 2026, 12:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2291a22f88190acf055a7410c1808 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.