Triple
T11393527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peggy Shippen |
E269906
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shippen |
E269906
|
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: Shippen | Statement: [Peggy Shippen, familyName, Shippen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shippen Context triple: [Peggy Shippen, familyName, Shippen]
-
A.
Shippen
chosen
Shippen is the surname of Peggy Shippen, a prominent Loyalist figure best known as the wife and co-conspirator of American Revolutionary War traitor Benedict Arnold.
-
B.
Shiprow
Shiprow is a historic street in Aberdeen, Scotland, known for its maritime heritage and preserved architecture.
-
C.
Sooner Schooner
The Sooner Schooner is a covered wagon pulled by ponies that serves as the University of Oklahoma’s iconic game-day mascot, symbolizing the state’s pioneer and land run heritage.
-
D.
Arielle Ship
Arielle Ship is an American soccer forward known for her standout collegiate career at the University of California, Berkeley and subsequent professional play in the National Women's Soccer League.
-
E.
Trudy Ship
Trudy Ship is a film editor best known for her work on the drama "Mr. Holland's Opus."
- 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d8001796f48190822526f52e3f0337 |
completed | April 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e58cb43b988190876af2de4be49628 |
completed | April 20, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:34 p.m.