Triple
T5865128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neon Lights |
E130373
|
entity |
| Predicate | hasWriter |
P4244
|
FINISHED |
| Object | Ralf Hütter |
E550437
|
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: Ralf Hütter | Statement: [Neon Lights, hasWriter, Ralf Hütter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralf Hütter Context triple: [Neon Lights, hasWriter, Ralf Hütter]
-
A.
Rainer Scholz
Rainer Scholz is a German former professional footballer and coach known for his career in the Bundesliga during the late 20th century.
-
B.
Holger Czukay
Holger Czukay was a pioneering German musician and co-founder of the experimental rock band Can, known for his innovative use of sampling, tape editing, and ambient soundscapes.
-
C.
Florian Schneider
chosen
Florian Schneider was a German musician and co-founder of the pioneering electronic band Kraftwerk, influential in shaping modern electronic and pop music.
-
D.
Herbert Grönemeyer
Herbert Grönemeyer is a renowned German singer, songwriter, and actor, widely recognized as one of Germany’s most successful recording artists.
-
E.
Roland Scholz
Roland Scholz is a German chemist and academic known for his contributions to theoretical chemistry and molecular modeling.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c035bfa8188190ab0e28101fdf5e6f |
completed | March 22, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b10b55a88190b525405b1e20ea77 |
completed | March 23, 2026, 3:18 a.m. |
Created at: March 22, 2026, 3:56 p.m.