Triple
T2720257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kinetograph |
E60064
|
entity |
| Predicate | filmPerforation |
P13454
|
FINISHED |
| Object | sprocket-perforated film |
—
|
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: sprocket-perforated film | Statement: [Kinetograph, filmPerforation, sprocket-perforated film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmPerforation Context triple: [Kinetograph, filmPerforation, sprocket-perforated film]
-
A.
filmPerforationType
chosen
Indicates the specific style or pattern of perforations used along the edges of a film stock.
-
B.
filmMedium
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
C.
filmGauge
Indicates the specific width or size of the film stock used in a motion picture or photographic recording.
-
D.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
E.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:55 p.m.