Triple
T20155059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Waters |
E491537
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Summerfield |
—
|
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: Summerfield | Statement: [John Waters, notableWork, Summerfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Summerfield Context triple: [John Waters, notableWork, Summerfield]
-
A.
Summerfield
Summerfield is a small town in northwestern North Carolina known for its semi-rural character and proximity to the city of Greensboro.
-
B.
Summerfield
chosen
Summerfield is the fictional Midwestern American town that serves as the primary backdrop for the classic radio comedy series "The Great Gildersleeve."
-
C.
Summerfield
Summerfield is the surname of British actress Jean Kent, known for her work in mid-20th-century cinema.
-
D.
Winterbrook
Winterbrook is a small area in Oxfordshire, England, best known as the longtime home and place of death of famed mystery writer Agatha Christie.
-
E.
Uplands
Uplands is a vibrant residential and commercial district of Swansea, Wales, known for its student population, nightlife, and association with poet Dylan Thomas.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667df7ac081908816d2d29e7c6513 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.