Triple
T15920610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victoires de la Musique |
E386082
|
entity |
| Predicate | organizer |
P123
|
FINISHED |
| Object |
SNEP
SNEP is the French national music industry association that represents record labels and producers and oversees major music awards and charts in France.
|
E1184093
|
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: SNEP | Statement: [Victoires de la Musique, organizer, SNEP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNEP Context triple: [Victoires de la Musique, organizer, SNEP]
-
A.
Arashi
Arashi is a popular Japanese boy band formed under Johnny & Associates, known for their chart-topping J-pop hits, television appearances, and widespread influence in Japanese entertainment.
-
B.
Usaka
Usaka is a town in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
C.
N'EX
N'EX is the branded high-speed airport rail service that connects Narita International Airport with central Tokyo and surrounding areas.
-
D.
Aimer
Aimer is a Japanese singer-songwriter known for her distinctive husky voice and contributions to numerous anime soundtracks.
-
E.
KAT-TUN
KAT-TUN is a popular Japanese boy band formed under Johnny & Associates, known for its energetic pop-rock music and strong presence in the J-pop scene.
- 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: SNEP Triple: [Victoires de la Musique, organizer, SNEP]
Generated description
SNEP is the French national music industry association that represents record labels and producers and oversees major music awards and charts in France.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SNEP Target entity description: SNEP is the French national music industry association that represents record labels and producers and oversees major music awards and charts in France.
-
A.
Arashi
Arashi is a popular Japanese boy band formed under Johnny & Associates, known for their chart-topping J-pop hits, television appearances, and widespread influence in Japanese entertainment.
-
B.
Usaka
Usaka is a town in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
C.
N'EX
N'EX is the branded high-speed airport rail service that connects Narita International Airport with central Tokyo and surrounding areas.
-
D.
Aimer
Aimer is a Japanese singer-songwriter known for her distinctive husky voice and contributions to numerous anime soundtracks.
-
E.
KAT-TUN
KAT-TUN is a popular Japanese boy band formed under Johnny & Associates, known for its energetic pop-rock music and strong presence in the J-pop scene.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156818cbc819086c956475ad23825 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5a96e508190a64c2be6dc506e86 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb62f3d8881908ede4a9a4b53bef2 |
completed | May 9, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb6f3154481909632913f4d7cfdba |
completed | May 9, 2026, 10:36 p.m. |
Created at: April 10, 2026, 4:52 a.m.