Triple
T18507376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | News Night with Will McAvoy |
E452232
|
entity |
| Predicate | fictionalChannelCategory |
P131937
|
FINISHED |
| Object | 24-hour news channel |
—
|
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: 24-hour news channel | Statement: [News Night with Will McAvoy, fictionalChannelCategory, 24-hour news channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalChannelCategory Context triple: [News Night with Will McAvoy, fictionalChannelCategory, 24-hour news channel]
-
A.
fictionalChannelNumber
Indicates that a channel is assigned a number that does not correspond to a real, physically existing broadcast or transmission channel.
-
B.
originalChannelCategory
Indicates the category or type of channel an item or communication originally belonged to before any changes or reclassification.
-
C.
fictionalField
Indicates that the subject is associated with a fictional or imaginary field, domain, or area rather than a real-world one.
-
D.
fictionalEntityType
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
-
E.
typicalChannel
Indicates the usual or most commonly used communication or distribution channel through which an interaction, message, or transaction typically occurs.
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53344033c8190a0883aef56ba79c3 |
completed | April 19, 2026, 7:55 p.m. |
| PD | Predicate disambiguation | batch_69e469dbf5208190b6fc49e02a087f54 |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:36 a.m.