Triple
T20661321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cujo |
E507765
|
entity |
| Predicate | settingLocation |
P40
|
FINISHED |
| Object | Castle Rock, Maine |
—
|
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: Castle Rock, Maine | Statement: [Cujo, settingLocation, Castle Rock, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castle Rock, Maine Context triple: [Cujo, settingLocation, Castle Rock, Maine]
-
A.
Castle Rock, Maine
chosen
Castle Rock, Maine is a fictional small town in Stephen King’s works, known as the setting for many of his horror and suspense stories.
-
B.
Old Town, Maine
Old Town, Maine is a small city in Penobscot County known for its historic paper and wood-products industries and its location along the Penobscot River.
-
C.
Ripley, Maine
Ripley, Maine is a small rural town located in Somerset County in central Maine.
-
D.
Rockwood, Maine
Rockwood, Maine is a small unincorporated community and popular outdoor recreation gateway on the western shore of Moosehead Lake in north-central Maine.
-
E.
Castle Hill, Maine
Castle Hill, Maine is a small rural town in northern Maine known for its agricultural landscape and location within Aroostook County.
- 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_69e6b2f16adc8190b2b9a69586fa7444 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.