Triple
T7631035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heaven & Earth |
E172758
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Kitaro |
E125448
|
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: Kitaro | Statement: [Heaven & Earth, musicBy, Kitaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitaro Context triple: [Heaven & Earth, musicBy, Kitaro]
-
A.
Kitaro
chosen
Kitaro is a pioneering Japanese new-age composer and multi-instrumentalist known for his atmospheric, synthesizer-based soundscapes and influential albums like the "Silk Road" series.
-
B.
Sanshin
Sanshin is a traditional three-stringed lute from the Ryukyu Islands, considered a central instrument in Okinawan music and culture.
-
C.
Tokitarō
Tokitarō was the childhood given name of the renowned Japanese ukiyo-e artist Katsushika Hokusai.
-
D.
Gitarzan
Gitarzan is a 1969 novelty song by Ray Stevens that humorously portrays a jungle man turned rock musician, blending comedy with pop and rock elements.
-
E.
Masaaki Suzuki
Masaaki Suzuki was an Imperial Japanese military officer who commanded forces during World War II, including in the Pacific campaign.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa85c57c8190acfd33e0c890c2f9 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870b3984c8190b16a49415556a27d |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.