Triple
T19693754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EMI Latin |
E472899
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object | EMI |
—
|
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: EMI | Statement: [EMI Latin, brandOf, EMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EMI Context triple: [EMI Latin, brandOf, 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
EMI was the European Monetary Institute, a precursor institution to the European Central Bank that helped prepare for the introduction of the euro and the coordination of European monetary policy.
-
C.
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.
-
D.
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.
-
E.
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.
- 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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64211e5d481908358d922e0dca271 |
completed | April 20, 2026, 3:11 p.m. |
Created at: April 10, 2026, 1:46 p.m.