Triple
T3496055
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jump! |
E73852
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Tokyo Rose |
E73849
|
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: Tokyo Rose | Statement: [Jump!, followedBy, Tokyo Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyo Rose Context triple: [Jump!, followedBy, Tokyo Rose]
-
A.
Tokyo Rose
chosen
Tokyo Rose is a 1989 concept album by American composer Van Dyke Parks that explores themes of U.S.–Japan relations through eclectic, orchestrated pop music.
-
B.
Sadako Kujō
Sadako Kujō was a Japanese noblewoman who became Empress of Japan as the consort of Emperor Taishō (Yoshihito).
-
C.
Toshiko Sato
Toshiko Sato is a brilliant and introverted technical expert and doctor in the British science-fiction series Torchwood, known for her skills in alien technology and her emotional depth.
-
D.
Miyoko Fuchida
Miyoko Fuchida was the wife of Japanese naval aviator Mitsuo Fuchida, known for her support of him during and after World War II and his later Christian missionary work.
-
E.
Shigeko
Shigeko is a Japanese feminine given name that has been borne by various notable women, including members of the imperial family.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbb06fd08190b6c1fadfce4148f0 |
completed | March 8, 2026, 6:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb7d6ab881909bf4c895646af259 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 8, 2026, 3:18 p.m.