Triple
T2035518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Jeong |
E44616
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Kendrick Kang-Joh Jeong |
E44616
|
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: Kendrick Kang-Joh Jeong | Statement: [Ken Jeong, birthName, Kendrick Kang-Joh Jeong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kendrick Kang-Joh Jeong Context triple: [Ken Jeong, birthName, Kendrick Kang-Joh Jeong]
-
A.
Doug Jung
Doug Jung is an American screenwriter and producer best known for co-writing the science fiction film "Star Trek Beyond."
-
B.
Kay Gee
Kay Gee is an American hip-hop producer best known as a founding member of Naughty by Nature and for crafting influential rap and R&B hits in the 1990s.
-
C.
Peter Sohn
Peter Sohn is an American animator, voice actor, and film director at Pixar known for his work on projects like "Ratatouille," "The Good Dinosaur," and "Elemental."
-
D.
Wi Ha-joon
Wi Ha-joon is a South Korean actor and model best known internationally for his breakout role in the hit Netflix survival drama series "Squid Game."
-
E.
Ken Jeong
chosen
Ken Jeong is an American comedian, actor, and licensed physician best known for his roles in "The Hangover" film series and the TV show "Community."
- 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_69a889159ec481908f9e4472d9f480c7 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb934ff948190acd88d4f587463a4 |
completed | March 7, 2026, 5:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae1ff03d3c8190adef0224aac989bd |
completed | March 9, 2026, 1:18 a.m. |
Created at: March 4, 2026, 7:39 p.m.