Triple
T6934500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hartwell family |
E160518
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Ephraim Hartwell |
E160519
|
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: Ephraim Hartwell | Statement: [Hartwell family, hasMember, Ephraim Hartwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ephraim Hartwell Context triple: [Hartwell family, hasMember, Ephraim Hartwell]
-
A.
Ephraim Hartwell
chosen
Ephraim Hartwell was an 18th-century Massachusetts tavern keeper and farmer known for his role in local events around the time of the American Revolution.
-
B.
Ephraim Hart
Ephraim Hart was an early American merchant and broker who was among the founders of what became the New York Stock Exchange.
-
C.
Edmund Fowle
Edmund Fowle was a colonial-era Massachusetts resident and civic figure after whom the historic Edmund Fowle House in Watertown is named.
-
D.
Ephraim Williams
Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
-
E.
Burford Tolsey
Burford Tolsey is a historic former market and meeting hall in Burford, Oxfordshire, now serving as a museum showcasing the town’s local history.
- 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_69c6884e15208190b9e91487eaafcf85 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da415b1481908d70b92ecd5fd8e6 |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7514ead808190bff53b49b5f331fb |
completed | March 28, 2026, 3:55 a.m. |
Created at: March 27, 2026, 2:27 p.m.