Triple
T5213389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arts, Beats & Eats festival |
E117687
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object |
Jon Witz
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
|
E509492
|
NE FINISHED |
How this triple was built (4 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: Jon Witz | Statement: [Arts, Beats & Eats festival, founder, Jon Witz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jon Witz Context triple: [Arts, Beats & Eats festival, founder, Jon Witz]
-
A.
Jeff Wagg
Jeff Wagg is a skeptic and educator known for his work with the James Randi Educational Foundation promoting critical thinking and scientific skepticism.
-
B.
Matt Wertz
Matt Wertz is an American singer-songwriter known for his melodic pop and acoustic-driven music, often associated with the contemporary Christian and indie pop scenes.
-
C.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
D.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
E.
Jeff Wincott
Jeff Wincott is a Canadian actor and martial artist known for his roles in action films and television series.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jon Witz Triple: [Arts, Beats & Eats festival, founder, Jon Witz]
Generated description
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jon Witz Target entity description: Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
-
A.
Jeff Wagg
Jeff Wagg is a skeptic and educator known for his work with the James Randi Educational Foundation promoting critical thinking and scientific skepticism.
-
B.
Matt Wertz
Matt Wertz is an American singer-songwriter known for his melodic pop and acoustic-driven music, often associated with the contemporary Christian and indie pop scenes.
-
C.
Eric Wetzels
Eric Wetzels is a Dutch politician who serves as the chairperson of the People's Party for Freedom and Democracy (VVD).
-
D.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
E.
Jeff Wincott
Jeff Wincott is a Canadian actor and martial artist known for his roles in action films and television series.
- F. None of above. chosen
Provenance (5 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a911d40819086621537274dc0f0 |
completed | March 20, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf10c62888819082afe8d6ec6275a2 |
completed | March 21, 2026, 9:42 p.m. |
| NEDg | Description generation | batch_69bf11635b9c819092130c46caea9306 |
completed | March 21, 2026, 9:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf11e982d08190bc74312bf6ee7127 |
completed | March 21, 2026, 9:47 p.m. |
Created at: March 20, 2026, 1:47 p.m.