Triple
T25889210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NFL Sunday Ticket |
E652280
|
entity |
| Predicate | currentPlatform |
P41828
|
FINISHED |
| Object | YouTube TV |
—
|
NE NERFINISHED |
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: YouTube TV | Statement: [NFL Sunday Ticket, currentPlatform, YouTube TV]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentPlatform Context triple: [NFL Sunday Ticket, currentPlatform, YouTube TV]
-
A.
currentSystem
Indicates that an entity is the system or configuration that is presently active or in use.
-
B.
platformUsed
Indicates that an action, event, or interaction was carried out using a particular platform (e.g., software, service, or system) as the medium or tool.
-
C.
usedPlatformType
Indicates that an entity makes use of or operates on a particular type or category of platform.
-
D.
consideredPlatform
Indicates that one entity is regarded or treated as a platform (e.g., a base, medium, or environment) for another entity or activity.
-
E.
platformName
chosen
Indicates the name or identifier of the platform associated with the entity or action.
- 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_69e7ab3b92cc81908febd90317862647 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 22, 2026, 8:18 a.m.