Triple
T12990890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of Queens |
E321902
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Sizzle Pro
Sizzle Pro is a production company known for its work on the popular American sitcom "The King of Queens."
|
E1014208
|
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: Sizzle Pro | Statement: [King of Queens, producer, Sizzle Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sizzle Pro Context triple: [King of Queens, producer, Sizzle Pro]
-
A.
T-Sizzle
T-Sizzle is the popular nickname of Terrell Suggs, a dominant NFL linebacker best known for his long, impactful career with the Baltimore Ravens.
-
B.
Red Giant
"Red Giant" is a song by American rock band Alice in Chains from their 2018 album "Rainier Fog."
-
C.
Flare
Flare is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing the Olympic spirit through a stylized animal character.
-
D.
Zap
Zap is the energetic mascot character for the former WNBA team the Detroit Shock, known for entertaining fans at games with lively antics and team spirit.
-
E.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
- 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: Sizzle Pro Triple: [King of Queens, producer, Sizzle Pro]
Generated description
Sizzle Pro is a production company known for its work on the popular American sitcom "The King of Queens."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sizzle Pro Target entity description: Sizzle Pro is a production company known for its work on the popular American sitcom "The King of Queens."
-
A.
T-Sizzle
T-Sizzle is the popular nickname of Terrell Suggs, a dominant NFL linebacker best known for his long, impactful career with the Baltimore Ravens.
-
B.
Red Giant
"Red Giant" is a song by American rock band Alice in Chains from their 2018 album "Rainier Fog."
-
C.
Flare
Flare is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing the Olympic spirit through a stylized animal character.
-
D.
Zap
Zap is the energetic mascot character for the former WNBA team the Detroit Shock, known for entertaining fans at games with lively antics and team spirit.
-
E.
Vizzy
Vizzy is a flavored hard seltzer brand produced by Molson Coors, known for incorporating antioxidant vitamin C from acerola superfruit into its alcoholic sparkling water beverages.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e7765788190a9503ef055bc30ca |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8fb70f481908a9a4ca04d6bf93b |
completed | May 3, 2026, 2:54 a.m. |
| NEDg | Description generation | batch_69f6baa76e8c8190b84fd31657ef3385 |
completed | May 3, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6bb8216fc8190a0119d434adf13a5 |
completed | May 3, 2026, 3:05 a.m. |
Created at: April 9, 2026, 8:43 p.m.