Triple
T23436039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 18 Again |
E563462
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object |
Ryeoun
Ryeoun is a South Korean actor known for his roles in television dramas, including a leading part in the fantasy series "18 Again."
|
E1585013
|
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: Ryeoun | Statement: [18 Again, leadActor, Ryeoun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryeoun Context triple: [18 Again, leadActor, Ryeoun]
-
A.
Gohyeon
Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
-
B.
Soyeon
Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
-
C.
Ungnyeo
Ungnyeo is a bear from Korean mythology who, after enduring a divine trial and transforming into a woman, became the ancestral mother of the Korean nation.
-
D.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
E.
Namhae
Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
- 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: Ryeoun Triple: [18 Again, leadActor, Ryeoun]
Generated description
Ryeoun is a South Korean actor known for his roles in television dramas, including a leading part in the fantasy series "18 Again."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ryeoun Target entity description: Ryeoun is a South Korean actor known for his roles in television dramas, including a leading part in the fantasy series "18 Again."
-
A.
Gohyeon
Gohyeon is the main urban and administrative center of Geoje, a city located on Geoje Island in South Gyeongsang Province, South Korea.
-
B.
Soyeon
Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
-
C.
Ungnyeo
Ungnyeo is a bear from Korean mythology who, after enduring a divine trial and transforming into a woman, became the ancestral mother of the Korean nation.
-
D.
Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
-
E.
Namhae
Namhae is a scenic coastal county in South Gyeongsang Province, South Korea, known for its islands, beaches, and terraced rice fields.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5dbdf248190a09e971f2718d01f |
completed | April 29, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c67b161548190a9017a58147e6201 |
completed | May 19, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_6a0c72171580819097c9f287d501ae7e |
completed | May 19, 2026, 2:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c76f0f4bc81909912d2196e969cf1 |
completed | May 19, 2026, 2:42 p.m. |
Created at: April 17, 2026, 5:50 p.m.