Triple
T16974583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Sun-kyun |
E411776
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Killing Romance
Killing Romance is a South Korean film featuring actor Lee Sun-kyun in a prominent role.
|
E1242693
|
NE FINISHED |
How this triple was built (4 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: Killing Romance | Statement: [Lee Sun-kyun, notableWork, Killing Romance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Killing Romance Context triple: [Lee Sun-kyun, notableWork, Killing Romance]
-
A.
A Love to Kill
A Love to Kill is a South Korean television drama series starring Rain as a troubled fighter who seeks revenge but becomes entangled in a tragic love story.
-
B.
Menacing Love
Menacing Love is a celebrated 18th-century Rococo sculpture by Étienne-Maurice Falconet depicting a mischievous Cupid poised to shoot his arrow.
-
C.
The Death Kiss
The Death Kiss is a 1932 pre-Code mystery film best known for reuniting several stars of the original Dracula in a story about a murder on a movie set.
-
D.
The Crimes of Love
The Crimes of Love is a collection of short stories by the Marquis de Sade that blends gothic melodrama with philosophical explorations of desire, morality, and cruelty.
-
E.
Got Love to Kill
"Got Love to Kill" is a rock song by the American band Juliette and the Licks, fronted by actress and singer Juliette Lewis.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Killing Romance Triple: [Lee Sun-kyun, notableWork, Killing Romance]
Generated description
Killing Romance is a South Korean film featuring actor Lee Sun-kyun in a prominent role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Killing Romance Target entity description: Killing Romance is a South Korean film featuring actor Lee Sun-kyun in a prominent role.
-
A.
A Love to Kill
A Love to Kill is a South Korean television drama series starring Rain as a troubled fighter who seeks revenge but becomes entangled in a tragic love story.
-
B.
Menacing Love
Menacing Love is a celebrated 18th-century Rococo sculpture by Étienne-Maurice Falconet depicting a mischievous Cupid poised to shoot his arrow.
-
C.
The Death Kiss
The Death Kiss is a 1932 pre-Code mystery film best known for reuniting several stars of the original Dracula in a story about a murder on a movie set.
-
D.
The Crimes of Love
The Crimes of Love is a collection of short stories by the Marquis de Sade that blends gothic melodrama with philosophical explorations of desire, morality, and cruelty.
-
E.
Got Love to Kill
"Got Love to Kill" is a rock song by the American band Juliette and the Licks, fronted by actress and singer Juliette Lewis.
- F. None of above. chosen
Provenance (5 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d18300c8819080c8bf19962754ba |
completed | April 18, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d4738fbc819099e8281ebc777091 |
completed | May 10, 2026, 6:54 p.m. |
| NEDg | Description generation | batch_6a00d51835c48190b1a37de6ac25ceaa |
completed | May 10, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00d59b96108190a0e55f01529a0b64 |
completed | May 10, 2026, 6:59 p.m. |
Created at: April 10, 2026, 5:31 a.m.