Triple
T7526895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandra Oh |
E177914
|
entity |
| Predicate | parent |
P120
|
FINISHED |
| Object |
Joon-Soo Oh
Joon-Soo Oh is the father of Canadian actress Sandra Oh, known for supporting her early artistic ambitions despite initially encouraging a more traditional career path.
|
E669686
|
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: Joon-Soo Oh | Statement: [Sandra Oh, parent, Joon-Soo Oh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joon-Soo Oh Context triple: [Sandra Oh, parent, Joon-Soo Oh]
-
A.
Jun-Ho Oh
Jun-Ho Oh is a South Korean roboticist best known for leading the development of the humanoid robot DRC-HUBO that won the DARPA Robotics Challenge.
-
B.
Jong Wook Kim
Jong Wook Kim is a machine learning researcher known for his contributions to multimodal models, including work on the development of CLIP at OpenAI.
-
C.
Yong-taek Jung
Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
-
D.
Yong-gi Jung
Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
-
E.
Sung-kyu Jung
Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname 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: Joon-Soo Oh Triple: [Sandra Oh, parent, Joon-Soo Oh]
Generated description
Joon-Soo Oh is the father of Canadian actress Sandra Oh, known for supporting her early artistic ambitions despite initially encouraging a more traditional career path.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joon-Soo Oh Target entity description: Joon-Soo Oh is the father of Canadian actress Sandra Oh, known for supporting her early artistic ambitions despite initially encouraging a more traditional career path.
-
A.
Jun-Ho Oh
Jun-Ho Oh is a South Korean roboticist best known for leading the development of the humanoid robot DRC-HUBO that won the DARPA Robotics Challenge.
-
B.
Jong Wook Kim
Jong Wook Kim is a machine learning researcher known for his contributions to multimodal models, including work on the development of CLIP at OpenAI.
-
C.
Yong-taek Jung
Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
-
D.
Yong-gi Jung
Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
-
E.
Sung-kyu Jung
Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84635feb881908930bf355ac56a47 |
completed | March 28, 2026, 9:20 p.m. |
| NEDg | Description generation | batch_69c846d0b1348190bc2bf23e75c535a9 |
completed | March 28, 2026, 9:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c84748b8988190b4f85c253ea9e403 |
completed | March 28, 2026, 9:25 p.m. |
Created at: March 27, 2026, 3:47 p.m.