Triple
T20975549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lesley Ann Warren |
E516614
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Everwood |
—
|
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: Everwood | Statement: [Lesley Ann Warren, notableWork, Everwood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everwood Context triple: [Lesley Ann Warren, notableWork, Everwood]
-
A.
Everwood
chosen
Everwood is an American family drama television series that follows a widowed brain surgeon who relocates with his children to a small Colorado town, exploring themes of grief, relationships, and community.
-
B.
Shadow Brook
Shadow Brook is a small stream in New York State that feeds into Otsego Lake, the source of the Susquehanna River.
-
C.
Wildwood
Wildwood is a residential neighbourhood located within the coastal city of Powell River in British Columbia, Canada.
-
D.
Wildwood
Wildwood is a small city in Sumter County, Florida, known as a key transportation crossroads and gateway to the rapidly growing retirement community of The Villages.
-
E.
Wildwood
Wildwood is a popular seaside resort city on the Jersey Shore known for its expansive beaches, lively boardwalk, and classic Doo Wop–style motels.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fba3df2081908c1db5f8610ba43d |
completed | April 21, 2026, 4:23 a.m. |
Created at: April 16, 2026, 1:46 p.m.