Triple
T22167799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edison Kinetographic Theater |
E547840
|
entity |
| Predicate | filmProcessUsed |
P136432
|
FINISHED |
| Object | 35 mm 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: 35 mm film | Statement: [Edison Kinetographic Theater, filmProcessUsed, 35 mm film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmProcessUsed Context triple: [Edison Kinetographic Theater, filmProcessUsed, 35 mm film]
-
A.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
B.
workFilmProcess
chosen
Indicates that an entity is involved in a specific stage or aspect of the filmmaking process for a work.
-
C.
filmSetting
Indicates the place, time, or environment in which the events of a film are set or take place.
-
D.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
E.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6642b08190980fa0c0d2bb4229 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.