Triple
T16324361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian Dunkleman |
E396374
|
entity |
| Predicate | voiceActingRoleIn |
P43874
|
FINISHED |
| Object | 3-South |
E938123
|
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: 3-South | Statement: [Brian Dunkleman, voiceActingRoleIn, 3-South]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 3-South Context triple: [Brian Dunkleman, voiceActingRoleIn, 3-South]
-
A.
3-South
chosen
3-South is an animated comedy television series that aired on MTV, known for its offbeat humor and depiction of inept college freshmen.
-
B.
South South
South South is a geopolitical zone in southern Nigeria comprising several oil-rich coastal states in the Niger Delta region.
-
C.
Southside
Southside is a residential locality situated just across the Mary River from the regional city of Gympie in Queensland, Australia.
-
D.
Southside
Southside is a shopping and leisure centre located on Victoria Street in central London.
-
E.
Southside
Southside is a central Edinburgh neighborhood known for its historic tenements, student population, and proximity to the University of Edinburgh.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b8fe988190adee72b23246052f |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ca9f08190aa95560fea482dd4 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:06 a.m.