Triple
T22004075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sandglass |
E543404
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Park Young-ji
Park Young-ji is a South Korean actress best known for her supporting roles in television dramas and films.
|
E1566078
|
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: Park Young-ji | Statement: [Sandglass, hasCastMember, Park Young-ji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Young-ji Context triple: [Sandglass, hasCastMember, Park Young-ji]
-
A.
Park Eun-young
Park Eun-young is best known as the wife of acclaimed South Korean film director Park Chan-wook.
-
B.
Jung Jin-young
Jung Jin-young is a South Korean actor known for his versatile performances in film and television, often portraying complex and emotionally resonant characters.
-
C.
Park Eun-kyo
Park Eun-kyo is a South Korean screenwriter best known for her acclaimed work on films such as "Mother" (2009) and "The Handmaiden" (2016).
-
D.
Kim Seung-yeon
Kim Seung-yeon is a South Korean businessman best known as the longtime chairman and leader of the Hanwha Group conglomerate.
-
E.
Yoon Jin-seo
Yoon Jin-seo is a South Korean actress best known internationally for her supporting role in the acclaimed thriller film "Oldboy."
- 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: Park Young-ji Triple: [Sandglass, hasCastMember, Park Young-ji]
Generated description
Park Young-ji is a South Korean actress best known for her supporting roles in television dramas and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Park Young-ji Target entity description: Park Young-ji is a South Korean actress best known for her supporting roles in television dramas and films.
-
A.
Park Eun-young
Park Eun-young is best known as the wife of acclaimed South Korean film director Park Chan-wook.
-
B.
Jung Jin-young
Jung Jin-young is a South Korean actor known for his versatile performances in film and television, often portraying complex and emotionally resonant characters.
-
C.
Park Eun-kyo
Park Eun-kyo is a South Korean screenwriter best known for her acclaimed work on films such as "Mother" (2009) and "The Handmaiden" (2016).
-
D.
Kim Seung-yeon
Kim Seung-yeon is a South Korean businessman best known as the longtime chairman and leader of the Hanwha Group conglomerate.
-
E.
Yoon Jin-seo
Yoon Jin-seo is a South Korean actress best known internationally for her supporting role in the acclaimed thriller film "Oldboy."
- 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_69e11e2c814c8190837d072789000486 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1276cab5c8190ac1236fde7e0394a |
completed | April 28, 2026, 9:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bf28c6374819099ff8ca38085d7d3 |
completed | May 19, 2026, 5:18 a.m. |
| NEDg | Description generation | batch_6a0bf7935b088190b0b8098ee877302f |
completed | May 19, 2026, 5:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bf7f426b88190b3b6897b116b7809 |
completed | May 19, 2026, 5:41 a.m. |
Created at: April 16, 2026, 8:20 p.m.