Triple
T21869356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oldboy |
E539962
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Oh Dal-su |
—
|
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: Oh Dal-su | Statement: [Oldboy, castMember, Oh Dal-su]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oh Dal-su Context triple: [Oldboy, castMember, Oh Dal-su]
-
A.
Oh Dal-su
chosen
Oh Dal-su is a South Korean actor and director known for his prolific supporting roles in numerous critically acclaimed films and television dramas.
-
B.
Di Doo Dah
Di Doo Dah is a 1973 French pop album by Jane Birkin, created in collaboration with Serge Gainsbourg and known for its playful, provocative style.
-
C.
Go Damdeok
Go Damdeok is the birth name of King Gwanggaeto the Great, the renowned 4th-century ruler of Goguryeo who greatly expanded the kingdom’s territory and power.
-
D.
Dal-dong
Dal-dong is a neighborhood in Ulsan, South Korea, known for encompassing the large urban green space of Ulsan Grand Park.
-
E.
Gwan Gyeong
Gwan Gyeong was a historical Korean scholar-official known for helping compile the Samguk Sagi, one of the oldest surviving chronicles of Korea’s Three Kingdoms period.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f334362c819094af465ee57b47e6 |
completed | April 28, 2026, 5:49 p.m. |
Created at: April 16, 2026, 6:57 p.m.