Triple
T14365191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Collins |
E356212
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Collinsport |
E691738
|
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: Collinsport | Statement: [Roger Collins, associatedWith, Collinsport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Collinsport Context triple: [Roger Collins, associatedWith, Collinsport]
-
A.
Collinsport, Maine
chosen
Collinsport, Maine is a fictional, fog-shrouded coastal town known as the eerie, gothic setting of the Dark Shadows franchise.
-
B.
Yarmouth
Yarmouth is a coastal town on Cape Cod in Massachusetts known for its beaches, historic villages, and tourism.
-
C.
Yarmouth
Yarmouth is a coastal town in southwestern Nova Scotia, Canada, known historically for its fishing, shipbuilding, and maritime heritage.
-
D.
Yarmouth
Yarmouth is a small historic port town and popular tourist destination on the western side of the Isle of Wight in England.
-
E.
Cotuit
Cotuit is a seaside village on Cape Cod in the town of Barnstable, Massachusetts, known for its historic character and shellfishing heritage.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed31670a48190a606e812a2aa0a6e |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 1:15 a.m.