Triple
T18359153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face the Music |
E439869
|
entity |
| Predicate | coverArtDesigner |
P184
|
FINISHED |
| Object | Kosh |
—
|
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: Kosh | Statement: [Face the Music, coverArtDesigner, Kosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kosh Context triple: [Face the Music, coverArtDesigner, Kosh]
-
A.
Kosh
chosen
Kosh is a British album cover designer best known for creating iconic rock artwork, including covers for artists like The Beatles and The Eagles.
-
B.
Koshun
Koshun is a music producer known for working on projects associated with the artist Amala.
-
C.
Koyeti
Koyeti is a dialect of the Southern Valley Yokuts language traditionally spoken by Indigenous Yokuts people of California’s Central Valley.
-
D.
Koza
Koza was the former name of what is now Okinawa City, a major urban center on Japan’s Okinawa Island known for its close historical ties to nearby U.S. military bases.
-
E.
Kurō
Kurō is an honorific name historically associated with the famed Japanese military commander Minamoto no Yoshitsune of the late Heian period.
- 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516d9dba8819088c5d772e3ee670d |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.