Triple
T15165656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Purple on Time |
E362332
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Todd Rittmann |
E466336
|
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: Todd Rittmann | Statement: [Purple on Time, performer, Todd Rittmann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Rittmann Context triple: [Purple on Time, performer, Todd Rittmann]
-
A.
Todd Rittmann
chosen
Todd Rittmann is an American guitarist and songwriter best known for his work in experimental and noise rock bands such as U.S. Maple and Dead Rider.
-
B.
Kevin Biegel
Kevin Biegel is an American television writer and producer best known for co-creating the sitcom Cougar Town and working on shows like Scrubs and Enlisted.
-
C.
Todd Boekelheide
Todd Boekelheide is an American film composer and sound editor known for his work on numerous documentaries and feature films, including Academy Award–winning projects.
-
D.
Brian Roettinger
Brian Roettinger is an American graphic designer and art director known for his innovative work in music packaging and visual identities for prominent artists and brands.
-
E.
Rob Yundt
Rob Yundt is an American mixed martial artist who competed in the UFC’s middleweight division.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01232149f88190b385fca6a7588d7b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 3:08 a.m.