Triple
T20102903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolfgang Hahn Prize |
E496590
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Haegue Yang
Haegue Yang is a South Korean contemporary artist known for her immersive installations that combine industrial materials, sensory elements, and references to history and politics.
|
E1412135
|
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: Haegue Yang | Statement: [Wolfgang Hahn Prize, notableRecipient, Haegue Yang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haegue Yang Context triple: [Wolfgang Hahn Prize, notableRecipient, Haegue Yang]
-
A.
Sonia Lee
Sonia Lee is known as the spouse of technology entrepreneur Philippe Kahn.
-
B.
Myung-wha Chung
Myung-wha Chung is a renowned South Korean cellist recognized for her international concert career and collaborations with major orchestras and chamber ensembles.
-
C.
Mary Sohn
Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
-
D.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
E.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
- 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: Haegue Yang Triple: [Wolfgang Hahn Prize, notableRecipient, Haegue Yang]
Generated description
Haegue Yang is a South Korean contemporary artist known for her immersive installations that combine industrial materials, sensory elements, and references to history and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Haegue Yang Target entity description: Haegue Yang is a South Korean contemporary artist known for her immersive installations that combine industrial materials, sensory elements, and references to history and politics.
-
A.
Sonia Lee
Sonia Lee is known as the spouse of technology entrepreneur Philippe Kahn.
-
B.
Myung-wha Chung
Myung-wha Chung is a renowned South Korean cellist recognized for her international concert career and collaborations with major orchestras and chamber ensembles.
-
C.
Mary Sohn
Mary Sohn is an American actress and comedian best known for her role on the NBC sitcom A.P. Bio.
-
D.
Da-yeon Jung
Da-yeon Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
-
E.
Hyein Park
Hyein Park is a Korean-Canadian voice actress best known for voicing the character Abby in Pixar’s animated film "Turning Red."
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6667170a4819085d07a4188ded541 |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082712b04c81908e0413dee9a04ea6 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a082864abdc819080a9822114eb8c25 |
completed | May 16, 2026, 8:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082946da0c81909db45f0989020a17 |
completed | May 16, 2026, 8:22 a.m. |
Created at: April 11, 2026, 11:27 p.m.