Triple
T5749992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chō |
E126826
|
entity |
| Predicate | transliterationVariant |
P5923
|
FINISHED |
| Object | Cho |
E497986
|
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: Cho | Statement: [Chō, transliterationVariant, Cho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Context triple: [Chō, transliterationVariant, Cho]
-
A.
Cho
chosen
Cho is a common Korean surname borne by numerous notable individuals across entertainment, politics, sports, and other fields.
-
B.
Chan
Chan is a common Chinese surname shared by many notable individuals across various fields worldwide.
-
C.
Cho Chang
Cho Chang is a Ravenclaw student at Hogwarts and Harry Potter’s early love interest, known for her role on the Ravenclaw Quidditch team and her involvement in the events surrounding Cedric Diggory.
-
D.
Chun
Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
-
E.
Chaek
Chaek is a Korean given name most notably borne by Kim Chaek, a prominent North Korean military and political figure.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288870fc819080e883c9d589359b |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e358d908190a37e5df89df3aedc |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.