Triple
T20661622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bag of Bones |
E507771
|
entity |
| Predicate | takesPlaceNear |
P42839
|
FINISHED |
| Object | Dark Score Lake |
—
|
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: Dark Score Lake | Statement: [Bag of Bones, takesPlaceNear, Dark Score Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dark Score Lake Context triple: [Bag of Bones, takesPlaceNear, Dark Score Lake]
-
A.
Dark Score Lake
chosen
Dark Score Lake is a fictional, ominous lakeside location in Maine that serves as the haunting backdrop for Stephen King’s novel "Bag of Bones."
-
B.
Dream Lake
Dream Lake is a shallow, mirror-like underground pool in Luray Caverns famous for its striking reflections of stalactites that create the illusion of great depth.
-
C.
Dream Lake
Dream Lake is a scenic alpine lake in Rocky Mountain National Park, Colorado, known for its clear waters, dramatic mountain backdrop, and popularity among hikers and photographers.
-
D.
Shadow Lake
Shadow Lake is a Canadian television film featuring actress Shirley Douglas in a prominent role.
-
E.
Shadow Lake
Shadow Lake is a scenic alpine lake in California’s Sierra Nevada, known for its clear waters, granite peaks, and popularity with backcountry hikers and photographers.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f2ee4081908df9ba897c9dfc98 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.