Triple
T22299278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jung Kim |
E551209
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Mr. Kim
Mr. Kim is the child of Jung Kim, likely a member of the Kim family whose specific identity or notability is not further specified.
|
E1533393
|
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: Mr. Kim | Statement: [Jung Kim, parent, Mr. Kim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Kim Context triple: [Jung Kim, parent, Mr. Kim]
-
A.
Yong-il
Yong-il is a Korean masculine given name that can be shared by various individuals, including notable figures such as politicians and public officials.
-
B.
Hong Kim
Hong Kim is a film producer known for working on the animated feature "The Nut Job."
-
C.
Pak Kyo Sam
Pak Kyo Sam was a North Korean military commander noted for his leadership role during the Korean War.
-
D.
Yong Duk Jhun
Yong Duk Jhun is a South Korean-born cinematographer and animator best known for his visual work on major DreamWorks animated films, including the Kung Fu Panda series.
-
E.
Kim Mun
Kim Mun is a Hmong-Mien language spoken by the Kim Mun (a subgroup of the Yao/Mien) people in parts of southern China and Southeast Asia.
- 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: Mr. Kim Triple: [Jung Kim, parent, Mr. Kim]
Generated description
Mr. Kim is the child of Jung Kim, likely a member of the Kim family whose specific identity or notability is not further specified.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Kim Target entity description: Mr. Kim is the child of Jung Kim, likely a member of the Kim family whose specific identity or notability is not further specified.
-
A.
Yong-il
Yong-il is a Korean masculine given name that can be shared by various individuals, including notable figures such as politicians and public officials.
-
B.
Hong Kim
Hong Kim is a film producer known for working on the animated feature "The Nut Job."
-
C.
Pak Kyo Sam
Pak Kyo Sam was a North Korean military commander noted for his leadership role during the Korean War.
-
D.
Yong Duk Jhun
Yong Duk Jhun is a South Korean-born cinematographer and animator best known for his visual work on major DreamWorks animated films, including the Kung Fu Panda series.
-
E.
Kim Mun
Kim Mun is a Hmong-Mien language spoken by the Kim Mun (a subgroup of the Yao/Mien) people in parts of southern China and Southeast Asia.
- 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_69e11e45fb848190a1b2ae21296e3a5f |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15722c3348190b63eb49764ef132d |
completed | April 29, 2026, 12:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ae9a7ba6c819098324b445801ae95 |
completed | May 18, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0aea1cefe88190a67cd8a58b73bf74 |
completed | May 18, 2026, 10:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aeaa0110c8190b796ea8d52471ca1 |
completed | May 18, 2026, 10:32 a.m. |
Created at: April 16, 2026, 8:41 p.m.