Triple
T7136166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Mary Wortley Montagu |
E166311
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pierrepont |
E517857
|
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: Pierrepont | Statement: [Lady Mary Wortley Montagu, familyName, Pierrepont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pierrepont Context triple: [Lady Mary Wortley Montagu, familyName, Pierrepont]
-
A.
Pierrepont
chosen
Pierrepont is a given name associated with the American architect C. P. H. Gilbert, known for designing opulent Gilded Age mansions in New York City.
-
B.
Pierpont
Pierpont is the distinctive middle name of the influential American financier and banker J. P. Morgan.
-
C.
Boughton
Boughton is a small rural village in Norfolk, England, situated near the settlement of Stoke Ferry.
-
D.
Parkeston
Parkeston is a village and port area in Essex, England, situated near Harwich and known historically for its railway and maritime connections.
-
E.
Colebrook
Colebrook is a small rural town located in Hartford County in the northwestern part of Connecticut, known for its forests, reservoirs, and outdoor recreation.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e6926d748190bc8c150fc1860531 |
completed | March 27, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a348a748819082f87039ea79f251 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.