Triple
T16056562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Beyond |
E389494
|
entity |
| Predicate | isCultFilm |
P73606
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [From Beyond, isCultFilm, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCultFilm Context triple: [From Beyond, isCultFilm, true]
-
A.
hasCultFilmStatus
chosen
Indicates that a film has achieved cult status, typically through a dedicated, passionate fanbase despite limited or non-mainstream popularity.
-
B.
hasCultTitle
Indicates that an entity is known by or associated with a specific cult-related title or honorific.
-
C.
hasCultFeature
Indicates that an entity possesses a characteristic, attribute, or element associated with cultic or ritual practices.
-
D.
notableCultTitle
Indicates that an entity holds a title or designation that is especially prominent or significant within a particular cult or cult-like group.
-
E.
filmWithinFilm
Indicates that one film is depicted, referenced, or shown as existing within the narrative of another film.
- F. None of above.
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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e18272f2288190a17d45fb01cc2b07 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 4:56 a.m.