Triple
T8175779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | We Global |
E190933
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | E1 Music |
E169295
|
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: E1 Music | Statement: [We Global, label, E1 Music]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E1 Music Context triple: [We Global, label, E1 Music]
-
A.
E1 Music
chosen
E1 Music is an independent American record label known for releasing music from prominent R&B and hip-hop artists, including Faith Evans.
-
B.
Elektra Music Group
Elektra Music Group is a major American record label and music company known for signing and promoting a diverse roster of contemporary artists across multiple genres.
-
C.
Echo Klassik
Echo Klassik was a major German music award that honored outstanding achievements in classical music performance and recording.
-
D.
Motéma Music
Motéma Music is an independent record label known for its focus on jazz, world, and soul music, and for launching and supporting acclaimed artists such as Gregory Porter.
-
E.
BMG
BMG is the commonly used abbreviation for Germany’s Federal Ministry of Health.
- 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_69ca82c1c0a08190bf8692b4d91a03ca |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4ab8295081909a450fcaa34f6ec6 |
completed | March 31, 2026, 4:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf6d4ba881908f1bac9cce6cc29d |
completed | April 1, 2026, 6:47 a.m. |
Created at: March 30, 2026, 5:40 p.m.