Triple
T26785398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Family Channel (Canadian TV channel) |
E670364
|
entity |
| Predicate | typicalProgrammingType |
P2192
|
FINISHED |
| Object | scripted series |
—
|
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: scripted series | Statement: [The Family Channel (Canadian TV channel), typicalProgrammingType, scripted series]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProgrammingType Context triple: [The Family Channel (Canadian TV channel), typicalProgrammingType, scripted series]
-
A.
typicalProgrammingSource
Indicates that one entity is a common or standard source from which the other entity obtains programming content or code.
-
B.
typicalProgrammingContext
Indicates that an entity is commonly or normally used, found, or applicable within a given programming context or environment.
-
C.
programType
chosen
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
D.
genreOfProgramming
Indicates that one entity is a programming genre or paradigm to which the other entity (a programming language, framework, or codebase) belongs.
-
E.
providedProgramming
Indicates that one entity supplied or made available programming (such as software, code, or a program) to another entity.
- 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_69eeb31d45f8819089f52ebdbc556218 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
Created at: April 27, 2026, 4:12 a.m.