Triple
T17000749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Choi Woo-shik |
E412434
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Hogu’s Love |
E1245267
|
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: Hogu’s Love | Statement: [Choi Woo-shik, appearedIn, Hogu’s Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hogu’s Love Context triple: [Choi Woo-shik, appearedIn, Hogu’s Love]
-
A.
Hogu’s Love
chosen
Hogu’s Love is a South Korean romantic comedy television drama that follows a sweet but naive young man entangled in an unexpected romance and personal growth.
-
B.
Baddo Love
Baddo Love is a track from Olamide’s influential Nigerian hip-hop album *Baddest Guy Ever Liveth*.
-
C.
The Hoose-Gow
The Hoose-Gow is a 1929 Laurel and Hardy short comedy film known for its prison-escape antics and slapstick humor.
-
D.
My Lovely Sam Soon
My Lovely Sam Soon is a popular South Korean romantic comedy television drama centered on a pastry chef navigating love, career, and self-acceptance.
-
E.
Tales of Burning Love
Tales of Burning Love is a novel by Louise Erdrich that interweaves the lives and stories of several women connected by their relationships with the same charismatic man, exploring themes of love, loss, and identity.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37d9f9081909aef52426d88940d |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b451ff88190b63f4ebddf93f153 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.