Triple
T10121305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sue Snell |
E223295
|
entity |
| Predicate | locatedInFictional |
P7550
|
FINISHED |
| Object | Chamberlain, Maine |
E375485
|
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: Chamberlain, Maine | Statement: [Sue Snell, locatedInFictional, Chamberlain, Maine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chamberlain, Maine Context triple: [Sue Snell, locatedInFictional, Chamberlain, Maine]
-
A.
Chamberlain, Maine
chosen
Chamberlain, Maine is a fictional small coastal town in Stephen King's works, notably serving as the primary setting of his novel "Carrie."
-
B.
Blaine, Maine
Blaine, Maine is a small rural town located in northeastern Maine near the Canadian border, within Aroostook County’s agricultural region.
-
C.
Morrill, Maine
Morrill, Maine is a small rural town in Waldo County known for its quiet residential character and forested, hilly landscape in central coastal Maine.
-
D.
Lovell, Maine
Lovell, Maine is a small rural town in Oxford County known for its scenic lakes and mountains in western Maine.
-
E.
Thorndike, Maine
Thorndike, Maine is a small rural town located in Waldo County in the central part of the state.
- 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_69ca8422047c81909d66b717b8b18cf3 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd266b18c8190b35fe637c912e756 |
completed | April 2, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: March 30, 2026, 9:04 p.m.