Triple
T12928280
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jake the Dog |
E309302
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Kim Kil Whan
Kim Kil Whan is a responsible, business-minded Rainicorn-dog hybrid from Adventure Time who often contrasts with his carefree father, Jake the Dog.
|
E1011121
|
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: Kim Kil Whan | Statement: [Jake the Dog, child, Kim Kil Whan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kim Kil Whan Context triple: [Jake the Dog, child, Kim Kil Whan]
-
A.
Kim Hong-gul
Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
B.
Kim Jung-soo
Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
-
C.
Shim Joong-bo
Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
-
D.
Han Jin-won
Han Jin-won is a South Korean screenwriter best known for co-writing the Academy Award–winning film "Parasite."
-
E.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
- 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: Kim Kil Whan Triple: [Jake the Dog, child, Kim Kil Whan]
Generated description
Kim Kil Whan is a responsible, business-minded Rainicorn-dog hybrid from Adventure Time who often contrasts with his carefree father, Jake the Dog.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kim Kil Whan Target entity description: Kim Kil Whan is a responsible, business-minded Rainicorn-dog hybrid from Adventure Time who often contrasts with his carefree father, Jake the Dog.
-
A.
Kim Hong-gul
Kim Hong-gul is a South Korean politician and the son of former President and Nobel Peace Prize laureate Kim Dae-jung.
-
B.
Kim Jung-soo
Kim Jung-soo is a South Korean architect best known for designing the National Assembly Building in Seoul.
-
C.
Shim Joong-bo
Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
-
D.
Han Jin-won
Han Jin-won is a South Korean screenwriter best known for co-writing the Academy Award–winning film "Parasite."
-
E.
Yoon Je-moon
Yoon Je-moon is a South Korean actor known for his versatile performances in both critically acclaimed films and television dramas.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971ec72a48190aceef10630603d2c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6655e88190ac33567870a947bb |
completed | May 3, 2026, 2:13 a.m. |
| NEDg | Description generation | batch_69f6b0660b188190a67bfff73b882d92 |
completed | May 3, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6b1aa191081908266128776a2147a |
completed | May 3, 2026, 2:23 a.m. |
Created at: April 9, 2026, 5:42 p.m.