Triple
T12859336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Brown Bunny |
E307542
|
entity |
| Predicate | initialCutRunningTime |
P18978
|
FINISHED |
| Object | approximately 118 minutes |
—
|
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: approximately 118 minutes | Statement: [The Brown Bunny, initialCutRunningTime, approximately 118 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialCutRunningTime Context triple: [The Brown Bunny, initialCutRunningTime, approximately 118 minutes]
-
A.
grindhouseCutRuntime
Indicates that a work has an alternate, typically shorter “grindhouse” cut runtime, often edited for exploitation-style or double-feature theatrical presentation.
-
B.
durationInitial
chosen
Indicates the initial length of time associated with an event, state, or process at its starting point.
-
C.
extendedEditionRuntimeMinutes
Indicates the duration, measured in minutes, of the extended edition version of a work.
-
D.
hasRunningTimeCategory
Indicates that an entity is associated with a specific category based on its running time or duration.
-
E.
filmRuntimeApprox
Indicates an approximate or estimated duration of a film, rather than its exact runtime.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa3002881908000357b1f95a3ac |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:37 p.m.