Triple
T17513077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Germs |
E426499
|
entity |
| Predicate | hasFormerMember |
P1168
|
FINISHED |
| Object | Nickey Beat |
—
|
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: Nickey Beat | Statement: [The Germs, hasFormerMember, Nickey Beat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nickey Beat Context triple: [The Germs, hasFormerMember, Nickey Beat]
-
A.
Nickey Beat
chosen
Nickey Beat is a drummer best known for his role in the influential Los Angeles punk band The Weirdos.
-
B.
Speroach Beatz
Speroach Beatz is a Nigerian record producer and songwriter known for crafting hit Afrobeats tracks for major artists in the contemporary African music scene.
-
C.
Rico Beats
Rico Beats is an American hip-hop record producer known for his work with artists like Pop Smoke, particularly on drill-influenced tracks.
-
D.
Beatz Dakay
Beatz Dakay is a Ghanaian music producer best known for crafting hit Afro-dancehall and reggae tracks, particularly through his collaborations with artist Stonebwoy.
-
E.
Kaoma
Kaoma was a French-Brazilian band best known for their 1989 worldwide hit dance single "Lambada."
- 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4525d29fc819080851bf744bc78ed |
completed | April 19, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:49 a.m.