Triple
T19505491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Player 456 |
E488009
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object | Lee Jung-jae |
—
|
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: Lee Jung-jae | Statement: [Player 456, portrayedBy, Lee Jung-jae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Jung-jae Context triple: [Player 456, portrayedBy, 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.
Kim Yoon-seok
Kim Yoon-seok is a prominent South Korean actor known for his intense performances in critically acclaimed films such as "The Chaser," "The Yellow Sea," and "The Fortress."
-
C.
Bong Hyo-min
Bong Hyo-min is the child of acclaimed South Korean film director and screenwriter Bong Joon-ho.
-
D.
Yeon Jung-hoon
Yeon Jung-hoon is a South Korean actor known for his roles in television dramas and films, as well as for being the son of veteran actor Yeon Kyu-jin and the husband of actress Han Ga-in.
-
E.
Gong Yoo
Gong Yoo is a South Korean actor renowned for his versatile performances in film and television, including major roles in works like "Train to Busan" and the drama "Goblin."
- 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_69d8e8d9d1c88190b01cd78b8be49384 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635113fdc819098ea0f738d01925c |
completed | April 20, 2026, 2:15 p.m. |
Created at: April 10, 2026, 1:40 p.m.