Triple
T7184762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mama Africa |
E167540
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | EMI |
E108006
|
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: EMI | Statement: [Mama Africa, recordLabel, EMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMI Context triple: [Mama Africa, recordLabel, EMI]
-
A.
EMI
chosen
EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
-
B.
EMI America
EMI America was a U.S.-based record label under the EMI umbrella, known for releasing popular rock and pop music during the late 20th century.
-
C.
EMF
EMF is the former name of the World Economic Forum, an international organization that engages political, business, and other leaders to shape global, regional, and industry agendas.
-
D.
EMI Blackwood Music
EMI Blackwood Music is a music publishing company that manages and licenses song copyrights for a wide range of artists and recordings.
-
E.
EMD
EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8df6a6881909c3174f86c9a6b28 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.