Triple
T14633760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King's Disease II |
E343548
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
YKTV
YKTV is a track by Nas from his acclaimed hip-hop album "King's Disease II."
|
E1110647
|
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: YKTV | Statement: [King's Disease II, hasPart, YKTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: YKTV Context triple: [King's Disease II, hasPart, YKTV]
-
A.
YTV
YTV is a Canadian English-language specialty television channel primarily known for broadcasting children's and youth-oriented programming.
-
B.
PewDiePie
PewDiePie is a Swedish YouTuber and comedian best known for his hugely popular gaming videos and influential presence in online entertainment.
-
C.
Vlogbrothers
Vlogbrothers is a popular YouTube channel and online community project created by brothers John and Hank Green, known for their educational, humorous, and thoughtful video blogs.
-
D.
Viddy
Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
-
E.
Bounce TV
Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated 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: YKTV Triple: [King's Disease II, hasPart, YKTV]
Generated description
YKTV is a track by Nas from his acclaimed hip-hop album "King's Disease II."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: YKTV Target entity description: YKTV is a track by Nas from his acclaimed hip-hop album "King's Disease II."
-
A.
YTV
YTV is a Canadian English-language specialty television channel primarily known for broadcasting children's and youth-oriented programming.
-
B.
PewDiePie
PewDiePie is a Swedish YouTuber and comedian best known for his hugely popular gaming videos and influential presence in online entertainment.
-
C.
Vlogbrothers
Vlogbrothers is a popular YouTube channel and online community project created by brothers John and Hank Green, known for their educational, humorous, and thoughtful video blogs.
-
D.
Viddy
Viddy was a mobile social video-sharing app that allowed users to create, edit, and share short video clips with an online community.
-
E.
Bounce TV
Bounce TV is an American digital multicast television network primarily targeting African American audiences with a mix of movies, original series, and syndicated 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aa7cb48190b008bd6b0e162c89 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda933937881909f3cf59fba878dfd |
completed | May 8, 2026, 9:13 a.m. |
| NEDg | Description generation | batch_69fdb3efb4fc8190bca7469d89a66a85 |
completed | May 8, 2026, 9:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdb48b5ca08190be61da2fdb7dbce4 |
completed | May 8, 2026, 10:01 a.m. |
Created at: April 10, 2026, 1:26 a.m.