Triple
T35920234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sifl and Olly |
E1038859
|
entity |
| Predicate | associatedWithNetworkBrand |
P193241
|
FINISHED |
| Object | MTV late-night programming |
—
|
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: MTV late-night programming | Statement: [Sifl and Olly, associatedWithNetworkBrand, MTV late-night programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithNetworkBrand Context triple: [Sifl and Olly, associatedWithNetworkBrand, MTV late-night programming]
-
A.
hasNetworkBrand
Indicates that one entity is associated with or operates under the network brand specified by another entity.
-
B.
partOfBrandNetwork
Indicates that one entity belongs to, or is included within, a larger brand network associated with another entity.
-
C.
associatedWithCityBranding
Indicates a relationship where something is connected to, involved in, or contributes to the branding or promotional identity of a city.
-
D.
primaryNetworkBrand
Indicates that one brand serves as the main or most prominent brand associated with a particular network.
-
E.
connectedToBrand
chosen
Indicates that one entity has an association or linkage with a particular brand, such as affiliation, representation, or integration.
- 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_69f76e2320748190b7f5c4750d0cd0d3 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.