Triple
T33799674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Caine as Jack Carter |
E866177
|
entity |
| Predicate | homeMediaAvailabilityOfFilm |
P7330
|
FINISHED |
| Object | VHS |
—
|
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: VHS | Statement: [Michael Caine as Jack Carter, homeMediaAvailabilityOfFilm, VHS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeMediaAvailabilityOfFilm Context triple: [Michael Caine as Jack Carter, homeMediaAvailabilityOfFilm, VHS]
-
A.
homeMediaStatus
Indicates the current state or condition of media items within a home context, such as their availability, progress, or usage status.
-
B.
hasHomeMediaRelease
chosen
Indicates that a work has been released in a home media format (such as DVD, Blu-ray, or digital home release).
-
C.
homeMediaReception
Indicates how a work is received, evaluated, or responded to by media outlets in its home or originating region.
-
D.
hasMovieTheater
Indicates that one entity possesses, contains, or includes a movie theater as part of its facilities or attributes.
-
E.
cinemaStatus
Indicates the current operational or functional state of a cinema, such as whether it is open, closed, or otherwise restricted.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc59518081908b0275f47721d561 |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:46 a.m.