Triple
T18503654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPK |
E452142
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object |
Metal Dance
"Metal Dance" is a single by the Japanese electronic music group SPK, known for their experimental industrial sound.
|
E1328265
|
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: Metal Dance | Statement: [SPK, hasSingle, Metal Dance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metal Dance Context triple: [SPK, hasSingle, Metal Dance]
-
A.
Metal
Metal is Apple’s low-level, high-performance graphics and compute API used for rendering and GPU-accelerated processing across its platforms.
-
B.
Gran Metalik
Gran Metalik is a Mexican professional wrestler known for his high-flying lucha libre style and appearances in WWE’s cruiserweight and tag team divisions.
-
C.
Heavy Metal
"Heavy Metal" is a 1981 animated science fantasy anthology film known for its adult-oriented themes, stylized visuals, and influential rock and metal soundtrack.
-
D.
Grammetal
Grammetal is a municipality in the Weimarer Land district of the German state of Thuringia.
-
E.
Metal Health
Metal Health is a landmark 1983 heavy metal album by Quiet Riot, widely recognized for popularizing the genre in the mainstream with hits like "Cum On Feel the Noize."
- 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: Metal Dance Triple: [SPK, hasSingle, Metal Dance]
Generated description
"Metal Dance" is a single by the Japanese electronic music group SPK, known for their experimental industrial sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Metal Dance Target entity description: "Metal Dance" is a single by the Japanese electronic music group SPK, known for their experimental industrial sound.
-
A.
Metal
Metal is Apple’s low-level, high-performance graphics and compute API used for rendering and GPU-accelerated processing across its platforms.
-
B.
Gran Metalik
Gran Metalik is a Mexican professional wrestler known for his high-flying lucha libre style and appearances in WWE’s cruiserweight and tag team divisions.
-
C.
Heavy Metal
"Heavy Metal" is a 1981 animated science fantasy anthology film known for its adult-oriented themes, stylized visuals, and influential rock and metal soundtrack.
-
D.
Grammetal
Grammetal is a municipality in the Weimarer Land district of the German state of Thuringia.
-
E.
Metal Health
Metal Health is a landmark 1983 heavy metal album by Quiet Riot, widely recognized for popularizing the genre in the mainstream with hits like "Cum On Feel the Noize."
- 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_69d8d386df84819092355ebb260d848e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c6384c819091f061c8538f6ca1 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a047143903c8190979d96780689a068 |
completed | May 13, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_6a0486327b6c8190ac089fcc834582ff |
completed | May 13, 2026, 2:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0486d31e2c81908ca95db7baec64a0 |
completed | May 13, 2026, 2:12 p.m. |
Created at: April 10, 2026, 11:36 a.m.