Triple
T5844865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Jung |
E129682
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Kristina Sunshine Jung
Kristina Sunshine Jung is the daughter of notorious American drug trafficker George Jung, whose troubled family relationship was depicted in the film "Blow."
|
E549976
|
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: Kristina Sunshine Jung | Statement: [George Jung, hasChild, Kristina Sunshine Jung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristina Sunshine Jung Context triple: [George Jung, hasChild, Kristina Sunshine Jung]
-
A.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
B.
Miri Yoon
Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
-
C.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
D.
Jane Kim
Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
-
E.
Emma Jung
Emma Jung was a Swiss psychoanalyst and author who significantly contributed to analytical psychology and collaborated closely with her husband, Carl Jung.
- 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: Kristina Sunshine Jung Triple: [George Jung, hasChild, Kristina Sunshine Jung]
Generated description
Kristina Sunshine Jung is the daughter of notorious American drug trafficker George Jung, whose troubled family relationship was depicted in the film "Blow."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kristina Sunshine Jung Target entity description: Kristina Sunshine Jung is the daughter of notorious American drug trafficker George Jung, whose troubled family relationship was depicted in the film "Blow."
-
A.
Yumi Jung
Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
-
B.
Miri Yoon
Miri Yoon is a film producer known for her work on the psychological thriller "Don't Worry Darling."
-
C.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
D.
Jane Kim
Jane Kim is an American politician and attorney who served on the San Francisco Board of Supervisors and is known for her progressive advocacy on housing, education, and workers’ rights.
-
E.
Emma Jung
Emma Jung was a Swiss psychoanalyst and author who significantly contributed to analytical psychology and collaborated closely with her husband, Carl Jung.
- 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_69c0084bd31c8190a796bb6284845e83 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c034dcafe88190a438034a539ffa52 |
completed | March 22, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0a1a6587c8190b76b1005178c29a9 |
completed | March 23, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69c0a2bd6cdc819096c6829dc8d5d61e |
completed | March 23, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0a323d9248190aa803c27be3d5eec |
completed | March 23, 2026, 2:19 a.m. |
Created at: March 22, 2026, 3:55 p.m.