Triple
T14956946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KVWN Channel 4 News |
E372955
|
entity |
| Predicate | hasGenreInFiction |
P116833
|
FINISHED |
| Object | news broadcasting |
—
|
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: news broadcasting | Statement: [KVWN Channel 4 News, hasGenreInFiction, news broadcasting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreInFiction Context triple: [KVWN Channel 4 News, hasGenreInFiction, news broadcasting]
-
A.
hasFictionComponent
Indicates that something includes, contains, or is composed in part of a fictional element or work.
-
B.
fictionalGenre
Indicates that a work of fiction belongs to or is categorized under a particular narrative genre or style.
-
C.
isCreativeWorkOfGenre
Indicates that a creative work belongs to, or is categorized under, a particular genre.
-
D.
hasFictionalUniverseGenre
Indicates that a fictional universe is associated with a particular genre that characterizes its overall style, themes, or narrative type.
-
E.
literaryGenreOfWork
Indicates that a work belongs to or is classified under a particular literary genre.
- F. None of above. chosen
Provenance (4 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a5d995881909e33658f5aea5582 |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:40 a.m.