Triple
T18080646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pam Brady |
E432678
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | South Park |
—
|
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: South Park | Statement: [Pam Brady, notableWork, South Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: South Park Context triple: [Pam Brady, notableWork, South Park]
-
A.
South Park
South Park is a historic, oval-shaped public park and surrounding neighborhood in San Francisco’s South of Market area, known for its Victorian homes, tech offices, and community green space.
-
B.
South Park
South Park is a high-altitude grassland basin in central Colorado known for its wide open plains, ranching heritage, and surrounding Rocky Mountain ranges.
-
C.
South Park
South Park is a public park in Oxford, England, known for its expansive green space, city views, and use as a venue for community events and festivals.
-
D.
South Park
chosen
South Park is an animated satirical television series known for its crude humor and sharp social and political commentary, created by Trey Parker and Matt Stone.
-
E.
South Park
South Park is a section of Beijing’s Olympic Forest Park, known for its landscaped green spaces, walking paths, and recreational areas within the larger urban park complex.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4d9fa080081909e1a05e98185a026 |
completed | April 19, 2026, 1:34 p.m. |
Created at: April 10, 2026, 10:27 a.m.