Triple
T8499229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Das Boot (1981 film) |
E201172
|
entity |
| Predicate | runningTimeMiniSeriesVersion |
P83063
|
FINISHED |
| Object | 293 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: 293 minutes | Statement: [Das Boot (1981 film), runningTimeMiniSeriesVersion, 293 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runningTimeMiniSeriesVersion Context triple: [Das Boot (1981 film), runningTimeMiniSeriesVersion, 293 minutes]
-
A.
hasEpisodeRuntime
Indicates the duration of time that each individual episode of a series or show runs.
-
B.
networkSeriesRun
Indicates that a television series is broadcast or has its episodes aired on a particular network.
-
C.
extendedEditionRuntimeMinutes
Indicates the duration, measured in minutes, of the extended edition version of a work.
-
D.
seriesLengthMinimum
Indicates that the length of a series must be at least a specified minimum value.
-
E.
filmRuntimeApprox
Indicates an approximate or estimated duration of a film, rather than its exact runtime.
- F. None of above. chosen
Provenance (4 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5984d7481908c41c57bef9cf254 |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe30d453481908f897ed2b06e7534 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:14 p.m.