Triple
T4330371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarah Orne Jewett |
E96733
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deephaven |
E353228
|
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: Deephaven | Statement: [Sarah Orne Jewett, notableWork, Deephaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deephaven Context triple: [Sarah Orne Jewett, notableWork, Deephaven]
-
A.
Deephaven
chosen
Deephaven is a small suburban city in Minnesota known for its residential character and proximity to Lake Minnetonka.
-
B.
New Harbor
New Harbor is the English meaning of "Nyhavn," the historic waterfront and entertainment district in central Copenhagen, Denmark.
-
C.
Old Port
Old Port is Portland, Maine’s historic waterfront district known for its cobblestone streets, 19th-century brick buildings, and vibrant shops, restaurants, and nightlife.
-
D.
Huntington Harbor
Huntington Harbor is a sheltered waterfront area and marina district on Long Island’s north shore, known for recreational boating and scenic coastal views.
-
E.
Seeadler Harbor
Seeadler Harbor is a large natural harbor in the Admiralty Islands that served as a major Allied naval base and logistics hub in the Pacific during World War II.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d09fad588190b488012b4fc6cb8c |
completed | March 14, 2026, 9:18 p.m. |
Created at: March 12, 2026, 11:13 p.m.