Triple
T23482000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creepshow 2 |
E570428
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object | Maine (segment The Hitchhiker) |
—
|
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: Maine (segment The Hitchhiker) | Statement: [Creepshow 2, setIn, Maine (segment The Hitchhiker)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maine (segment The Hitchhiker) Context triple: [Creepshow 2, setIn, Maine (segment The Hitchhiker)]
-
A.
Maine 245
Maine 245 is a state highway in Maine that serves as a numbered route connecting local communities and other regional roads.
-
B.
Saddleback Maine
Saddleback Maine is a prominent ski resort in western Maine known for its varied terrain, family-friendly atmosphere, and scenic views of the Rangeley Lakes region.
-
C.
State of Maine (fictional setting)
chosen
The State of Maine is the fictional U.S. setting in Stephen King’s works, notably encompassing the town of Shawshank and its infamous prison.
-
D.
Strong, Maine
Strong, Maine is a small rural town in western Maine known historically for its lumber and toothpick manufacturing industries.
-
E.
Hope, Maine
Hope, Maine is a small rural town in coastal Knox County known for its scenic lakes, rolling hills, and quiet New England character.
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a75118048190b4af687906c4e747 |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.