Triple
T15034348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BBC News at One studio |
E378440
|
entity |
| Predicate | programmeGenreServed |
P83375
|
FINISHED |
| Object | television news |
—
|
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: television news | Statement: [BBC News at One studio, programmeGenreServed, television news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: programmeGenreServed Context triple: [BBC News at One studio, programmeGenreServed, television news]
-
A.
tvGenre
chosen
Indicates the genre or category to which a television show or program belongs.
-
B.
targetAudienceOfPrograms
Indicates that a particular group or entity is the intended audience or recipient of certain programs.
-
C.
homeSeriesGenre
Indicates that a home media series (such as a TV or video series) belongs to or is categorized under a particular genre.
-
D.
programType
Indicates the category or kind of program to which an entity belongs or with which it is associated.
-
E.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69de9a67cbc481909c19c2de57de4eb7 |
completed | April 14, 2026, 7:50 p.m. |
Created at: April 10, 2026, 2:59 a.m.