Triple
T16398699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jürgen Klinsmann |
E398251
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Debbie Chin
Debbie Chin is best known as the wife of former German footballer and manager Jürgen Klinsmann.
|
E1209643
|
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: Debbie Chin | Statement: [Jürgen Klinsmann, spouse, Debbie Chin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debbie Chin Context triple: [Jürgen Klinsmann, spouse, Debbie Chin]
-
A.
Debbie Ong
Debbie Ong is a Singaporean judge who serves as the Presiding Judge of the State Courts of Singapore, overseeing the administration and operations of the country's primary trial courts.
-
B.
Patricia Chin
Patricia Chin is a pioneering Jamaican music producer and entrepreneur best known as the co-founder of the influential reggae and dancehall label VP Records.
-
C.
Laureen Chew
Laureen Chew is an actress best known for her role in the influential 1982 Asian American independent film "Chan Is Missing."
-
D.
Yvonne Chu
Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
-
E.
Tina Chen
Tina Chen is a Taiwanese-American actress known for her film and television work from the late 1960s onward, often portraying complex Asian and Asian-American characters.
- 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: Debbie Chin Triple: [Jürgen Klinsmann, spouse, Debbie Chin]
Generated description
Debbie Chin is best known as the wife of former German footballer and manager Jürgen Klinsmann.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debbie Chin Target entity description: Debbie Chin is best known as the wife of former German footballer and manager Jürgen Klinsmann.
-
A.
Debbie Ong
Debbie Ong is a Singaporean judge who serves as the Presiding Judge of the State Courts of Singapore, overseeing the administration and operations of the country's primary trial courts.
-
B.
Patricia Chin
Patricia Chin is a pioneering Jamaican music producer and entrepreneur best known as the co-founder of the influential reggae and dancehall label VP Records.
-
C.
Laureen Chew
Laureen Chew is an actress best known for her role in the influential 1982 Asian American independent film "Chan Is Missing."
-
D.
Yvonne Chu
Yvonne Chu is the wife of Nobel Prize–winning physicist and former U.S. Secretary of Energy Steven Chu.
-
E.
Tina Chen
Tina Chen is a Taiwanese-American actress known for her film and television work from the late 1960s onward, often portraying complex Asian and Asian-American characters.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cdc62481909de144b09a921e63 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357838a88190be88c51f454be6eb |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a0035ea77dc8190bda37dac2710d0e3 |
completed | May 10, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0036e53f2c81908f04a5e51870040c |
completed | May 10, 2026, 7:42 a.m. |
Created at: April 10, 2026, 5:09 a.m.