Triple
T6853461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephine |
E158078
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | UMe |
E148735
|
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: UMe | Statement: [Josephine, recordLabel, UMe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UMe Context triple: [Josephine, recordLabel, UMe]
-
A.
UMe
chosen
UMe is a record label and division of Universal Music Group that specializes in reissues, compilations, and catalog releases from the company’s extensive music archives.
-
B.
UMS
UMS is a public university system in the U.S. state of Missouri that oversees multiple campuses, including the University of Missouri in Columbia.
-
C.
UMS
UMS is the public university system that oversees multiple campuses and educational institutions across the state of Maine.
-
D.
UMG
UMG is the commonly used abbreviation for Gdynia Maritime University, a leading Polish institution specializing in maritime education and research.
-
E.
UMII
UMII is the ICAO airport code assigned to Vitebsk Vostochny Airport in Belarus.
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d851321481908c49c2c949359703 |
completed | March 27, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fd79e508190b00e45f9cceb3e21 |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:20 p.m.