Triple
T21722659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arashi |
E536198
|
entity |
| Predicate | debutSingle |
P22756
|
FINISHED |
| Object |
A-RA-SHI
A-RA-SHI is the energetic pop song that introduced Japanese boy band Arashi to the music scene and became one of their signature hits.
|
E1498788
|
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: A-RA-SHI | Statement: [Arashi, debutSingle, A-RA-SHI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A-RA-SHI Context triple: [Arashi, debutSingle, A-RA-SHI]
-
A.
Usaka
Usaka is a town in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
B.
Nogizaka
Nogizaka is a district in Tokyo, Japan, known for its upscale urban atmosphere and proximity to cultural landmarks and institutions.
-
C.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
D.
Shiota
Shiota is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Takenaka Asia
Takenaka Asia is a regional subsidiary of Japan’s Takenaka Corporation that oversees and delivers its architectural, engineering, and construction services across Asian markets.
- 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: A-RA-SHI Triple: [Arashi, debutSingle, A-RA-SHI]
Generated description
A-RA-SHI is the energetic pop song that introduced Japanese boy band Arashi to the music scene and became one of their signature hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A-RA-SHI Target entity description: A-RA-SHI is the energetic pop song that introduced Japanese boy band Arashi to the music scene and became one of their signature hits.
-
A.
Usaka
Usaka is a town in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
B.
Nogizaka
Nogizaka is a district in Tokyo, Japan, known for its upscale urban atmosphere and proximity to cultural landmarks and institutions.
-
C.
Tameyoshi
Tameyoshi was a Heian-period Japanese samurai leader of the Minamoto clan who played a key role in early clan conflicts that preceded the Genpei War.
-
D.
Shiota
Shiota is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
E.
Takenaka Asia
Takenaka Asia is a regional subsidiary of Japan’s Takenaka Corporation that oversees and delivers its architectural, engineering, and construction services across Asian markets.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd97032c08190820b87a288e77293 |
completed | April 27, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a24b98e6c8190a2afff6b11c78963 |
completed | May 17, 2026, 8:27 p.m. |
| NEDg | Description generation | batch_6a0a28d08738819081084d9d1c91e6ef |
completed | May 17, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a2c3a1fc481908c46c86bc6bda9fa |
completed | May 17, 2026, 8:59 p.m. |
Created at: April 16, 2026, 6:47 p.m.