Triple
T27103006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disney's One Saturday Morning |
E686489
|
entity |
| Predicate | includedSegmentType |
P2563
|
FINISHED |
| Object | interstitial segments |
—
|
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: interstitial segments | Statement: [Disney's One Saturday Morning, includedSegmentType, interstitial segments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includedSegmentType Context triple: [Disney's One Saturday Morning, includedSegmentType, interstitial segments]
-
A.
hasSegmentType
chosen
Indicates that an entity is associated with, or classified by, a particular type or category of segment within a larger structure or sequence.
-
B.
appliesToSegmentType
Indicates that a rule, condition, or operation is specifically associated with and relevant to a particular type of segment.
-
C.
includesCapSegments
Indicates that an entity contains or is composed of one or more capitalized text segments as part of its structure or content.
-
D.
typicalSegmentType
Indicates that something is classified as belonging to a usual or characteristic type of segment within a broader structure or sequence.
-
E.
hasSegmentBasedOn
Indicates that one segment is derived from, modeled after, or constructed using another segment as its basis.
- 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_69ef1489f8b481908e24a1985982bd26 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 27, 2026, 8:49 a.m.