Triple
T26896621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olaf Presents |
E677913
|
entity |
| Predicate | intendedRuntimePerEpisode |
P123539
|
FINISHED |
| Object | shorts |
—
|
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: shorts | Statement: [Olaf Presents, intendedRuntimePerEpisode, shorts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedRuntimePerEpisode Context triple: [Olaf Presents, intendedRuntimePerEpisode, shorts]
-
A.
hasEpisodeRuntime
Indicates the duration of time that each individual episode of a series or show runs.
-
B.
televisionSeriesRuntimeCharacteristic
chosen
Indicates a relationship where a television series is associated with a specific runtime-related characteristic, such as typical episode length or overall duration pattern.
-
C.
typicalRuntimePerShort
Indicates the usual or average amount of time it takes to complete a short instance of the referenced activity or process.
-
D.
segmentCountPerEpisode
Indicates the number of distinct segments contained within a single episode.
-
E.
originallyPlannedNumberOfEpisodes
Indicates the total number of episodes that were initially intended or planned for a series or program before any changes occurred.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f69383222c81909d8baa04129d5c81 |
completed | May 3, 2026, 12:14 a.m. |
| PD | Predicate disambiguation | batch_69f690eb1e948190aab41a89969519a5 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 27, 2026, 5:48 a.m.