Triple
T20245432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Cho |
E498412
|
entity |
| Predicate | nameInKorean |
P17869
|
FINISHED |
| Object | 조요한 |
E410143
|
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: 조요한 | Statement: [John Cho, nameInKorean, 조요한]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 조요한 Context triple: [John Cho, nameInKorean, 조요한]
-
A.
Yohanan
chosen
Yohanan is a Hebrew given name, often rendered as "Yohanan" or "Yochanan," meaning "God is gracious" and historically borne by various Jewish religious and political figures.
-
B.
John Mark
John Mark is a New Testament figure traditionally regarded as the author of the Gospel of Mark and a companion of the apostles Peter and Paul.
-
C.
John Mark
John Mark was a British athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1948 London Summer Olympics.
-
D.
Johannes Soter
Johannes Soter was a Renaissance-era printer and publisher known for issuing influential humanist and esoteric works in early 16th-century Europe.
-
E.
John Johanas
John Johanas is a video game director best known for his work on titles in the Evil Within series at Tango Gameworks.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a26c8481908f408fb6426aece9 |
completed | April 20, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a084b98184c8190bdcb5f121dfa43fa |
completed | May 16, 2026, 10:48 a.m. |
Created at: April 11, 2026, 11:40 p.m.