Triple
T6955436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snot Lonstein |
E161230
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Langley Falls |
E172698
|
NE FINISHED |
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: Langley Falls | Statement: [Snot Lonstein, residence, Langley Falls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langley Falls Context triple: [Snot Lonstein, residence, Langley Falls]
-
A.
Langley Falls
chosen
Langley Falls is the fictional American suburban town that serves as the primary setting of the animated television series "American Dad!".
-
B.
Lancaster Falls
Lancaster Falls is a lesser-known waterfall in Oregon’s Columbia River Gorge, situated near Starvation Creek Falls along the historic Columbia River Highway.
-
C.
Livermore Falls
Livermore Falls is a small town in Androscoggin County, Maine, known for its historic paper mill industry and location along the Androscoggin River.
-
D.
Ripley Falls
Ripley Falls is a picturesque, steep cascade waterfall in New Hampshire’s White Mountains, popular with hikers visiting Crawford Notch.
-
E.
Sahalie Falls
Sahalie Falls is a powerful and scenic waterfall on Oregon’s McKenzie River, known for its dramatic drop, lush forest surroundings, and easily accessible viewpoints.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dace1a94819095311e4288f01784 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7753f1fe08190a734e371db4d1d38 |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:29 p.m.