Triple
T13724412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turn Up the Music |
E329115
|
entity |
| Predicate | hasMusicVideoPlatform |
P22455
|
FINISHED |
| Object |
VEVO
VEVO is a music video hosting service and network that distributes high-quality official music videos and related content across platforms like YouTube and its own apps.
|
E1058423
|
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: VEVO | Statement: [Turn Up the Music, hasMusicVideoPlatform, VEVO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VEVO Context triple: [Turn Up the Music, hasMusicVideoPlatform, VEVO]
-
A.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
B.
VEHO
VEHO is the ICAO airport code assigned to Donyi Polo Airport in Arunachal Pradesh, India.
-
C.
Ive
Ive is the surname of Sir Jonathan Ive, the influential British industrial designer best known for shaping the design of many iconic Apple products.
-
D.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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: VEVO Triple: [Turn Up the Music, hasMusicVideoPlatform, VEVO]
Generated description
VEVO is a music video hosting service and network that distributes high-quality official music videos and related content across platforms like YouTube and its own apps.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VEVO Target entity description: VEVO is a music video hosting service and network that distributes high-quality official music videos and related content across platforms like YouTube and its own apps.
-
A.
Movia
Movia is a modular, high-capacity metro train platform developed by Bombardier (now Alstom) and used in urban rail systems worldwide.
-
B.
VEHO
VEHO is the ICAO airport code assigned to Donyi Polo Airport in Arunachal Pradesh, India.
-
C.
Ive
Ive is the surname of Sir Jonathan Ive, the influential British industrial designer best known for shaping the design of many iconic Apple products.
-
D.
Velaro
Velaro is a family of high-speed electric multiple unit trains developed by Siemens for use on major rail networks worldwide.
-
E.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f52e748190b49c34e10ab8ac34 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d60cd048190b20c4e6f49f816a6 |
completed | May 3, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69f79e9e6ff88190b031fb1403cacabc |
completed | May 3, 2026, 7:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7a2d6e7ec81908a4cbc324e793c24 |
completed | May 3, 2026, 7:32 p.m. |
Created at: April 9, 2026, 9:55 p.m.