Triple
T22555512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeon Sang-ho |
E557669
|
entity |
| Predicate | directed |
P7373
|
FINISHED |
| Object | Hellbound |
—
|
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: Hellbound | Statement: [Yeon Sang-ho, directed, Hellbound]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellbound Context triple: [Yeon Sang-ho, directed, Hellbound]
-
A.
Hellbound
chosen
Hellbound is a South Korean dark fantasy horror series that explores supernatural judgments and societal chaos when people receive decrees of their impending damnation.
-
B.
Hellbound
Hellbound is a hard rock studio album by American band Buckcherry, known for its energetic, riff-driven sound and gritty vocals.
-
C.
Hellbound
Hellbound is a track from the Pixies' influential 1990 alternative rock album "Pod."
-
D.
Hellbound Train
"Hellbound Train" is a blues-rock song best known as the dark, driving title track from Savoy Brown’s 1972 album.
-
E.
Fresh Hell
Fresh Hell is a comedic web series in which actor Brent Spiner plays a fictionalized version of himself navigating a bizarre Hollywood downfall.
- 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_69e11e59db848190b4272ecd2b690ffd |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f78d8288190871d54db0a7f454b |
completed | April 29, 2026, 1:31 a.m. |
Created at: April 16, 2026, 8:52 p.m.