Triple
T6814278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parks and Recreation |
E156712
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Andy Dwyer |
E383359
|
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: Andy Dwyer | Statement: [Parks and Recreation, mainCharacter, Andy Dwyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Dwyer Context triple: [Parks and Recreation, mainCharacter, Andy Dwyer]
-
A.
Andy Dwyer
chosen
Andy Dwyer is a lovable, goofy, and well-meaning slacker from the sitcom "Parks and Recreation," known for his childlike enthusiasm, musical ambitions, and comedic antics.
-
B.
Joey DeLuca
Joey DeLuca is a fictional character from the short-lived 1970s American sitcom "Blansky's Beauties."
-
C.
Jack Donaghy
Jack Donaghy is a sharply dressed, corporate-minded television executive known for his ruthless business savvy and deadpan mentorship of Liz Lemon on the sitcom "30 Rock."
-
D.
David Puddy
David Puddy is a deadpan, dim-witted auto mechanic and Elaine Benes’s on-again, off-again boyfriend on the sitcom "Seinfeld," known for his monotone delivery and quirky obsessions.
-
E.
Augie Donatelli
Augie Donatelli was a prominent Major League Baseball umpire known for working numerous World Series and All-Star Games during his long career.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d32c40508190932718a649fc1417 |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723dd82048190969754b388a76913 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:17 p.m.