Triple
T19505536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seong Ga-yeong |
E488010
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Cho Ah-in
Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
|
E1449932
|
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: Cho Ah-in | Statement: [Seong Ga-yeong, portrayedBy, Cho Ah-in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cho Ah-in Context triple: [Seong Ga-yeong, portrayedBy, Cho Ah-in]
-
A.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
-
B.
Kim So-yeon
Kim So-yeon, better known as Soyeon Schröder-Kim, is a South Korean-born interpreter who is publicly known as the wife of former German Chancellor Gerhard Schröder.
-
C.
Jung In-seo
Jung In-seo is a South Korean actress and singer known for her roles in films and television dramas, as well as for her work as a child actress.
-
D.
Jeong Ji-hyun
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
E.
Won Jin-ah
Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
- 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: Cho Ah-in Triple: [Seong Ga-yeong, portrayedBy, Cho Ah-in]
Generated description
Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cho Ah-in Target entity description: Cho Ah-in is a South Korean actress known for her roles in contemporary Korean television dramas and films.
-
A.
Jo Yun-ok
Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
-
B.
Kim So-yeon
Kim So-yeon, better known as Soyeon Schröder-Kim, is a South Korean-born interpreter who is publicly known as the wife of former German Chancellor Gerhard Schröder.
-
C.
Jung In-seo
Jung In-seo is a South Korean actress and singer known for her roles in films and television dramas, as well as for her work as a child actress.
-
D.
Jeong Ji-hyun
Jeong Ji-hyun is a Korean individual whose name is romanized from the Korean name Ji-hyun Jung.
-
E.
Won Jin-ah
Won Jin-ah is a South Korean actress known for her roles in television dramas and films, including the dark fantasy series "Hellbound."
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef6cf19c8190a00f26597471c493 |
completed | May 16, 2026, 10:27 p.m. |
| NEDg | Description generation | batch_6a08f2af4560819093445a7d147d4b89 |
completed | May 16, 2026, 10:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f323f07c81908f6fd372150df960 |
completed | May 16, 2026, 10:43 p.m. |
Created at: April 10, 2026, 1:40 p.m.