Triple
T6701588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rykodisc |
E152891
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object | Ryko Disc |
E431147
|
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: Ryko Disc | Statement: [Rykodisc, hasImprint, Ryko Disc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryko Disc Context triple: [Rykodisc, hasImprint, Ryko Disc]
-
A.
RykoDisc
chosen
RykoDisc was an independent American record label known for its high-quality CD reissues and releases by influential alternative and rock artists.
-
B.
Discocnide
Discocnide is a small genus of flowering plants in the hemp family Cannabaceae, known for its nettle-like species.
-
C.
Go! Discs
Go! Discs was a British independent record label known for releasing influential alternative, indie, and dance music in the 1980s and 1990s.
-
D.
Twin Disc
Twin Disc is an American manufacturer known for producing power transmission equipment and drivetrain systems for industrial, marine, and off-highway applications.
-
E.
Diskit
Diskit is a remote village in India’s Ladakh region, known for its ancient Diskit Monastery and dramatic views over the Nubra Valley.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e5eb0c81908c4fa3febd2d23ca |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70081395c8190921636db5cfa096a |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:05 p.m.