Triple
T22534693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live in Texas |
E557124
|
entity |
| Predicate | runningTimeDVD |
P36872
|
FINISHED |
| Object | approx. 80 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: approx. 80 minutes | Statement: [Live in Texas, runningTimeDVD, approx. 80 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runningTimeDVD Context triple: [Live in Texas, runningTimeDVD, approx. 80 minutes]
-
A.
filmRuntimeApprox
chosen
Indicates an approximate or estimated duration of a film, rather than its exact runtime.
-
B.
filmRuntimeMinutes
Indicates the duration of a film expressed in minutes.
-
C.
extendedEditionRuntimeMinutes
Indicates the duration, measured in minutes, of the extended edition version of a work.
-
D.
filmLength
Indicates the duration or running time of a film, typically measured in units such as minutes.
-
E.
hasRunningTimeCategory
Indicates that an entity is associated with a specific category based on its running time or duration.
- 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_69e11e57483c8190b0887c4f8ff26446 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed952f48190b63225e7de131679 |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69e898c864148190a3f5feec7967d49c |
completed | April 22, 2026, 9:45 a.m. |
Created at: April 16, 2026, 8:51 p.m.