Triple
T12760482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | This Is Cinerama |
E304978
|
entity |
| Predicate | filmPresentation |
P24651
|
FINISHED |
| Object | three synchronized 35mm projectors |
—
|
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: three synchronized 35mm projectors | Statement: [This Is Cinerama, filmPresentation, three synchronized 35mm projectors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmPresentation Context triple: [This Is Cinerama, filmPresentation, three synchronized 35mm projectors]
-
A.
filmMedium
chosen
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
-
B.
film
Indicates that an entity is a movie or cinematic work, or that a relationship involves such a movie.
-
C.
filmBase
Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
-
D.
filmMovement
Indicates the cinematic movement or stylistic school with which a film is associated.
-
E.
filmType
Indicates the specific category or genre that a film belongs to.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d8e44188190840cd23d380bf23d |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.