Triple
T5757865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Jung-jae |
E127015
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lee Jung-jae |
E127015
|
NE FINISHED |
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: Lee Jung-jae | Statement: [Lee Jung-jae, name, Lee Jung-jae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Jung-jae Context triple: [Lee Jung-jae, name, Lee Jung-jae]
-
A.
Lee Jung-jae
chosen
Lee Jung-jae is a South Korean actor and former model renowned for his versatile film and television roles, gaining worldwide fame for his performance in the Netflix series "Squid Game."
-
B.
Bong Hyo-min
Bong Hyo-min is the child of acclaimed South Korean film director and screenwriter Bong Joon-ho.
-
C.
Jung Jae-il
Jung Jae-il is a South Korean composer and musician best known internationally for his atmospheric and unsettling scores for acclaimed works like the series "Squid Game" and the film "Parasite."
-
D.
Han Jin-won
Han Jin-won is a South Korean screenwriter best known for co-writing the Academy Award–winning film "Parasite."
-
E.
Byung-hun Lee
Byung-hun Lee is a prominent South Korean actor known internationally for his roles in both Korean cinema and Hollywood films, including major action and thriller productions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029363c988190b12f3f7b68295748 |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e4c70808190a31bb41d4baa5865 |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.