Triple
T13109389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brickleberry |
E310930
|
entity |
| Predicate | hasNotableVoiceActor |
P39669
|
FINISHED |
| Object | Roger Black |
E1021785
|
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: Roger Black | Statement: [Brickleberry, hasNotableVoiceActor, Roger Black]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roger Black Context triple: [Brickleberry, hasNotableVoiceActor, Roger Black]
-
A.
Roger Black
chosen
Roger Black is an American comedian, writer, and animator best known for co-creating the adult animated television series Brickleberry.
-
B.
Wesley Wyndam-Pryce
Wesley Wyndam-Pryce is a former Watcher turned morally conflicted demon hunter and scholar, best known as a central character on the TV series "Angel."
-
C.
Colin Jackson
Colin Jackson is a retired Welsh hurdler and sprinter best known for being a world champion and former world record holder in the 110 metres hurdles.
-
D.
Adam Gemili
Adam Gemili is a British sprinter known for competing in the 100m and 200m at multiple Olympic Games and winning medals at World and European Championships.
-
E.
David Weir
David Weir is a British Paralympic wheelchair racer and multiple gold medalist renowned for his achievements on the track and in major marathons.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6eadad81c8190881e6577e1c2a207 |
completed | May 3, 2026, 6:27 a.m. |
Created at: April 9, 2026, 9:05 p.m.