Triple
T16012112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theo Von |
E388361
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Theo Von |
E388361
|
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: Theo Von | Statement: [Theo Von, stageName, Theo Von]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Theo Von Context triple: [Theo Von, stageName, Theo Von]
-
A.
Theo Von
chosen
Theo Von is an American stand-up comedian and podcast host known for his Southern storytelling style and offbeat, self-deprecating humor.
-
B.
Daniel Tosh
Daniel Tosh is an American stand-up comedian, television host, and actor best known for his dark, edgy humor and hosting the Comedy Central series "Tosh.0."
-
C.
Kevin Maher
Kevin Maher is an English former professional footballer and current football manager best known for his long association with Southend United.
-
D.
Marc Maron
Marc Maron is an American stand-up comedian, actor, and podcaster best known for his influential podcast "WTF with Marc Maron" and his roles in television and film.
-
E.
Pete Holmes
Pete Holmes is an American drummer best known for his work with the glam metal band Ratt and other hard rock and heavy metal acts.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18291e2b481909d13cb6057c76cee |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf267a9c81908f1fa1ad117c5e2c |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.