Triple
T15166981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thrill Jockey |
E362377
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Matmos |
E800020
|
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: Matmos | Statement: [Thrill Jockey, hasArtist, Matmos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matmos Context triple: [Thrill Jockey, hasArtist, Matmos]
-
A.
Matmos
chosen
Matmos is an experimental electronic music duo known for their innovative use of unconventional sound sources and conceptual compositions.
-
B.
Mouse on Mars
Mouse on Mars is an experimental German electronic music duo known for their innovative blend of IDM, techno, and avant-pop.
-
C.
Madredeus
Madredeus is a Portuguese music group renowned for its ethereal blend of fado, folk, and contemporary acoustic sounds, often highlighted by the haunting vocals of Teresa Salgueiro.
-
D.
Alborosie
Alborosie is an Italian-born reggae artist and producer known for his roots-influenced sound and prominent role in contemporary Jamaican reggae music.
-
E.
Sunz of Man
Sunz of Man is a Wu-Tang Clan-affiliated hip hop group known for its gritty, spiritual, and socially conscious lyricism.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3286a2c8190ac73b68cefd0191d |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:08 a.m.