Triple
T14359488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mellow Gold |
E356058
|
entity |
| Predicate | labelImprint |
P2763
|
FINISHED |
| Object | DGC |
E356053
|
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: DGC | Statement: [Mellow Gold, labelImprint, DGC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGC Context triple: [Mellow Gold, labelImprint, DGC]
-
A.
DGC
DGC is the United Nations Department of Global Communications, responsible for promoting global awareness and understanding of the UN’s work through strategic communication and public outreach.
-
B.
DGC
chosen
DGC is a record label imprint best known for signing influential alternative rock and grunge artists in the late 1980s and 1990s.
-
C.
DGP
DGP is the highest-ranking police officer in an Indian state or union territory, responsible for overseeing the entire state police force.
-
D.
DGF
DGF is the vehicle registration code used for the Dingolfing-Landau district in Bavaria, Germany.
-
E.
DCG
DCG is the Dental College of Georgia, a dental school that provides education, research, and clinical services in dentistry.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f54bfb08190a27c0d12731acec2 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c48dd408190ac45ad4ca6f610c3 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 10, 2026, 1:15 a.m.