Triple
T122647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YouTube |
E2481
|
entity |
| Predicate | hasService |
P182
|
FINISHED |
| Object |
YouTube TV
YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
|
E13754
|
NE FINISHED |
How this triple was built (4 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: [YouTube, hasService, YouTube TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YouTube TV Context triple: [YouTube, hasService, YouTube TV]
-
A.
YouTube
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
B.
truTV
truTV is an American cable television channel owned by Warner Bros. Discovery, best known for reality-based programming, comedy, and live sports coverage including NCAA March Madness games.
-
C.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
-
D.
Turner Sports
Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
-
E.
PBS
PBS is a U.S. public television network known for educational, scientific, and cultural programming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: YouTube TV Triple: [YouTube, hasService, YouTube TV]
Generated description
YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YouTube TV Target entity description: YouTube TV is a subscription-based live TV streaming service that offers access to major broadcast and cable channels over the internet.
-
A.
YouTube
YouTube is a global online video-sharing and streaming platform where users can upload, watch, and interact with a vast range of video content.
-
B.
truTV
truTV is an American cable television channel owned by Warner Bros. Discovery, best known for reality-based programming, comedy, and live sports coverage including NCAA March Madness games.
-
C.
NBC
NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
-
D.
Turner Sports
Turner Sports is a major American sports media division known for producing and broadcasting high-profile events across networks like TNT, TBS, and truTV.
-
E.
PBS
PBS is a U.S. public television network known for educational, scientific, and cultural programming.
- F. None of above. chosen
Provenance (5 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_69a2506c5428819085c28a8884790e29 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NER | Named-entity recognition | batch_69a2573b4e7481909ee09d2899f8a74b |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2982485348190b2b361aef7b42fc9 |
completed | Feb. 28, 2026, 7:24 a.m. |
| NEDg | Description generation | batch_69a299032e748190b8f91ff2109c40fe |
completed | Feb. 28, 2026, 7:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a29af5cf3c8190a88b5cbabea72cc5 |
completed | Feb. 28, 2026, 7:36 a.m. |
Created at: Feb. 28, 2026, 2:24 a.m.