Triple
T23484442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Dong-hwi |
E570494
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Veteran |
—
|
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: Veteran | Statement: [Lee Dong-hwi, notableWork, Veteran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veteran Context triple: [Lee Dong-hwi, notableWork, Veteran]
-
A.
Veteran
chosen
"Veteran" is a 2015 South Korean action-comedy film directed by Ryoo Seung-wan, known for its sharp social commentary and high-energy portrayal of a detective confronting a corrupt, wealthy heir.
-
B.
Military Man
"Military Man" is a song by the Irish hard rock band Thin Lizzy, featured on their 1975 album "Fighting."
-
C.
The Veteran
The Veteran is a collection of crime and suspense short stories by British thriller writer Frederick Forsyth.
-
D.
The Veteran
The Veteran is a British action thriller film that follows an ex-soldier drawn into a violent conspiracy involving terrorism, government corruption, and organized crime.
-
E.
Vietnam War veterans
Vietnam War veterans are former U.S. and allied military personnel who served in the Vietnam War and are widely associated with experiences of combat trauma, social division at home, and long-term psychological and physical aftereffects.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a752c678819087e5c50b8cf87d3d |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.