Triple
T21716740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kagerō-class destroyer |
E536049
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Arashi |
—
|
NE NERFINISHED |
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: [Kagerō-class destroyer, hasPart, Arashi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arashi Context triple: [Kagerō-class destroyer, hasPart, Arashi]
-
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.
Arashi
chosen
Arashi was an Imperial Japanese Navy destroyer that served in World War II, notably participating in several Pacific naval engagements before being sunk in 1943.
-
C.
The Idols
The Idols were a short-lived New York City punk rock band from the late 1970s associated with the downtown club scene and members of the early punk movement.
-
D.
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.
-
E.
Kumagai Gumi
Kumagai Gumi is a major Japanese construction and civil engineering company known for undertaking large-scale infrastructure projects worldwide.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69efd96ab4c88190b76f4a6b7c855039 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:47 p.m.