Triple
T15097889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betsey Cushing Roosevelt |
E360587
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cushing |
E232009
|
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: Cushing | Statement: [Betsey Cushing Roosevelt, familyName, Cushing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cushing Context triple: [Betsey Cushing Roosevelt, familyName, Cushing]
-
A.
Cushing
chosen
Cushing is a surname most notably associated with American jurist and Squaw Valley Ski Resort founder Alexander Cushing, as well as a prominent New England family with historical influence in law and politics.
-
B.
Burdinne
Burdinne is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
C.
Coxen
Coxen is a surname variant of Cox, typically of English origin.
-
D.
Krause
Krause is a German-origin surname borne by numerous notable individuals across sports, politics, science, and the arts.
-
E.
Chrebet
Chrebet is the surname of former New York Jets wide receiver Wayne Chrebet, who became a fan favorite for his toughness and clutch performances in the NFL.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae230d148190a343ac92fb089902 |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3:04 a.m.