Triple
T20796295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother (2009 film) |
E511916
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | Park Eun-kyo |
—
|
NE NERFINISHED |
How this triple was built (2 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 Eun-kyo | Statement: [Mother (2009 film), screenplayBy, Park Eun-kyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Park Eun-kyo Context triple: [Mother (2009 film), screenplayBy, Park Eun-kyo]
-
A.
Park Eun-kyo
chosen
Park Eun-kyo is a South Korean screenwriter best known for her acclaimed work on films such as "Mother" (2009) and "The Handmaiden" (2016).
-
B.
Park Eun-young
Park Eun-young is best known as the wife of acclaimed South Korean film director Park Chan-wook.
-
C.
Jung Ho-yeon
Jung Ho-yeon is a South Korean model-turned-actress who gained international fame for her breakout role in the Netflix survival drama series "Squid Game."
-
D.
Ahn Seo-hyun
Ahn Seo-hyun is a South Korean actress best known internationally for her lead role in Bong Joon-ho’s film "Okja."
-
E.
Yoon Ga-eun
Yoon Ga-eun is a South Korean film director and screenwriter known for her sensitive, realistic portrayals of children and adolescence.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2ad6f0481909e0bab7119f10f9c |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:39 p.m.