Triple
T17067509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Park |
E414126
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Anne Garefino |
—
|
NE NERFINISHED |
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: Anne Garefino | Statement: [South Park, executiveProducer, Anne Garefino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Garefino Context triple: [South Park, executiveProducer, Anne Garefino]
-
A.
Anne Garefino
chosen
Anne Garefino is an American television and theater producer best known for her longtime work on "South Park" and the Broadway musical "The Book of Mormon."
-
B.
Jane Weinzapfel
Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
-
C.
Betsy Gaghan
Betsy Gaghan is the daughter of American screenwriter and director Stephen Gaghan.
-
D.
Anita Barone
Anita Barone is an American actress known for her work in television sitcoms and comedy series, including roles on shows like Friends and The War at Home.
-
E.
Marla Frumkin
Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbbddd708190a6192466b7dfd606 |
completed | April 18, 2026, 7:30 p.m. |
Created at: April 10, 2026, 5:34 a.m.