Triple
T11407277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nippon Budokan |
E270270
|
entity |
| Predicate | hostedArtist |
P2777
|
FINISHED |
| Object | Arashi |
E536198
|
NE FINISHED |
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: Arashi | Statement: [Nippon Budokan, hostedArtist, Arashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arashi Context triple: [Nippon Budokan, hostedArtist, Arashi]
-
A.
Arashi
chosen
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.
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.
-
C.
Kumagai Gumi
Kumagai Gumi is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure projects worldwide.
-
D.
Ha*Ash
Ha*Ash is a Mexican-American pop and country-influenced musical duo of sisters known for their romantic ballads and success in the Latin music scene.
-
E.
Nogizaka
Nogizaka is a district in Tokyo, Japan, known for its upscale urban atmosphere and proximity to cultural landmarks and institutions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaddeaa8819088b30ef7b50598c9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8014c820c81908538ba4a08e13230 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58d6eea4c81908319a590d2d9e177 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 8, 2026, 9:34 p.m.