Triple
T19411826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space Sweepers |
E485604
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Song Joong-ki |
—
|
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: Song Joong-ki | Statement: [Space Sweepers, castMember, Song Joong-ki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Song Joong-ki Context triple: [Space Sweepers, castMember, Song Joong-ki]
-
A.
Song Joong-ki
chosen
Song Joong-ki is a popular South Korean actor known for his leading roles in hit dramas such as "Descendants of the Sun" and "Vincenzo."
-
B.
Kim Swoo Geun
Kim Swoo Geun was a prominent South Korean architect renowned for pioneering modern Korean architecture and shaping Seoul’s urban landscape in the mid-20th century.
-
C.
Lee Sung-min
Lee Sung-min is a South Korean actor known for his versatile performances in film, television, and theater, often praised for his nuanced character portrayals.
-
D.
Ma Dong-seok
Ma Dong-seok is a South Korean-American actor best known internationally for his tough-guy roles in films like "Train to Busan" and "The Outlaws."
-
E.
I Jeong-jae
I Jeong-jae is the Korean romanization of the name of Lee Jung-jae, a prominent South Korean actor known internationally for his role in the series "Squid Game."
- 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af681288190ba2ec52d5adb6a22 |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:37 p.m.