Triple
T52911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darkness and Light |
E1039
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | GOOD Music |
E5585
|
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: GOOD Music | Statement: [Darkness and Light, recordLabel, GOOD Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOOD Music Context triple: [Darkness and Light, recordLabel, GOOD Music]
-
A.
GOOD Music
chosen
GOOD Music is a record label founded by Kanye West that is known for its roster of influential hip-hop and R&B artists.
-
B.
Sony Urban Music
Sony Urban Music was a division of Sony Music Entertainment focused on promoting and distributing urban and hip-hop artists and releases.
-
C.
GU
GU is the two-letter ISO 3166 country code assigned to Guam, an unincorporated territory of the United States in the western Pacific Ocean.
-
D.
Metro
Metro is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
-
E.
Audion
Audion is an early triode vacuum tube invented by Lee de Forest that enabled the amplification of electrical signals and was crucial to the development of radio and electronics.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24b04ef708190876686da9db1f04d |
completed | Feb. 28, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2623ecff48190bc390f8d418b97ec |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.