Triple
T22257790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danger Doom |
E550136
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Lex Records |
—
|
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: Lex Records | Statement: [Danger Doom, recordLabel, Lex Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lex Records Context triple: [Danger Doom, recordLabel, Lex Records]
-
A.
Lex Records
chosen
Lex Records is an independent British record label known for releasing innovative hip hop and experimental music from artists such as Danger Mouse, MF DOOM, and BADBADNOTGOOD.
-
B.
Light Records
Light Records is a gospel music record label known for releasing influential Christian and choir recordings, particularly in the 1970s and 1980s.
-
C.
Peak Records
Peak Records is a contemporary jazz and smooth jazz record label known for releasing albums by artists such as saxophonist Eric Marienthal.
-
D.
Reach Records
Reach Records is an independent Christian hip hop record label known for promoting faith-based rap artists and albums.
-
E.
One Records
One Records is a music label known for releasing hip-hop projects, including work by rapper Fashawn.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f138c3cf64819087e270a1f50e629e |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 16, 2026, 8:39 p.m.