Triple
T4505975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regular Show |
E101332
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object |
J. G. Quintel
J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
|
E454423
|
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: J. G. Quintel | Statement: [Regular Show, creator, J. G. Quintel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. G. Quintel Context triple: [Regular Show, creator, J. G. Quintel]
-
A.
D. B. Norton
D. B. Norton is the wealthy, manipulative newspaper magnate and political power broker who serves as the main antagonist in the 1941 film "Meet John Doe."
-
B.
Edward E. Smith
Edward E. Smith was an American science fiction author best known for his pioneering space opera novels, particularly the Lensman and Skylark series.
-
C.
Alan E. Nourse
Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
-
D.
Leland Robinson
Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
-
E.
Hans Matheson
Hans Matheson is a Scottish actor known for his roles in period dramas and literary adaptations in film and television.
- 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: J. G. Quintel Triple: [Regular Show, creator, J. G. Quintel]
Generated description
J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: J. G. Quintel Target entity description: J. G. Quintel is an American animator, writer, and voice actor best known for creating the Cartoon Network series "Regular Show."
-
A.
D. B. Norton
D. B. Norton is the wealthy, manipulative newspaper magnate and political power broker who serves as the main antagonist in the 1941 film "Meet John Doe."
-
B.
Edward E. Smith
Edward E. Smith was an American science fiction author best known for his pioneering space opera novels, particularly the Lensman and Skylark series.
-
C.
Alan E. Nourse
Alan E. Nourse was an American science fiction author and physician known for works that often explored medical and social themes, including the novel "The Bladerunner."
-
D.
Leland Robinson
Leland Robinson is the son of influential music producer and Sugar Hill Records co-founder Sylvia Robinson.
-
E.
Hans Matheson
Hans Matheson is a Scottish actor known for his roles in period dramas and literary adaptations in film and television.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde05f2bd48190b52203e90a52a114 |
completed | March 21, 2026, 12:03 a.m. |
| NEDg | Description generation | batch_69bde138b2948190ba46f9a1fdb2ef0f |
completed | March 21, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde18997148190b0f3c68b39c8dac3 |
completed | March 21, 2026, 12:08 a.m. |
Created at: March 20, 2026, 1:01 p.m.