Triple
T18507381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | News Night with Will McAvoy |
E452232
|
entity |
| Predicate | fictionalCompetitorType |
P131939
|
FINISHED |
| Object | other cable news networks |
—
|
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: other cable news networks | Statement: [News Night with Will McAvoy, fictionalCompetitorType, other cable news networks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalCompetitorType Context triple: [News Night with Will McAvoy, fictionalCompetitorType, other cable news networks]
-
A.
fictionalEntityType
Indicates that the subject is classified as a particular type or category of fictional entity within a narrative or imaginary context.
-
B.
fictionalRivalOf
Indicates a rivalry relationship that exists between two entities only within a fictional or narrative context.
-
C.
fictionalPlayer
Indicates that the referenced player entity is imaginary or does not exist in the real world, but is instead part of a fictional or simulated context.
-
D.
fictionalCharacter
Indicates that one entity is a fictional character that appears within the narrative world of another entity (such as a work, series, or franchise).
-
E.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
- 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.