Triple
T2035558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ken Jeong |
E44616
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object |
kenjeong
Ken Jeong is an American comedian, actor, and former physician best known for his roles in "The Hangover" film series and the TV show "Community."
|
E227918
|
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: kenjeong | Statement: [Ken Jeong, twitterUsername, kenjeong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: kenjeong Context triple: [Ken Jeong, twitterUsername, kenjeong]
-
A.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
B.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
-
C.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
D.
Gwangandaegyo
Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
-
E.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
- 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: kenjeong Triple: [Ken Jeong, twitterUsername, kenjeong]
Generated description
Ken Jeong is an American comedian, actor, and former physician best known for his roles in "The Hangover" film series and the TV show "Community."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: kenjeong Target entity description: Ken Jeong is an American comedian, actor, and former physician best known for his roles in "The Hangover" film series and the TV show "Community."
-
A.
Joseongeul
Joseongeul is the native Korean alphabetic writing system, more commonly known today as Hangul.
-
B.
Hanguk Suhwagi
Hanguk Suhwagi is the Korean Sign Language used by the Deaf community in South Korea for everyday communication and cultural expression.
-
C.
Jagalchi Sijang
Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
-
D.
Gwangandaegyo
Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
-
E.
Aegukga
Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
- 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_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. |
| NEDg | Description generation | batch_69ae20946a288190a3bd2a19e3608e86 |
completed | March 9, 2026, 1:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae2109d17c819094a298a822064052 |
completed | March 9, 2026, 1:23 a.m. |
Created at: March 4, 2026, 7:39 p.m.