Triple
T17504976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Francesca V. Rains |
E426289
|
entity |
| Predicate | relativeOf |
P367
|
FINISHED |
| Object | Henry Gage |
—
|
NE NERFINISHED |
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: Henry Gage | Statement: [Francesca V. Rains, relativeOf, Henry Gage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Henry Gage Context triple: [Francesca V. Rains, relativeOf, Henry Gage]
-
A.
Henry Gage
chosen
Henry Gage was an American politician and lawyer who served as the 20th governor of California from 1899 to 1903.
-
B.
William D. Gage
William D. Gage was an early settler and prominent local figure in Nebraska after whom Gage County was named.
-
C.
Lyman J. Gage
Lyman J. Gage was an American banker and politician who served as U.S. Secretary of the Treasury under Presidents William McKinley and Theodore Roosevelt.
-
D.
Francis C. Barlow
Francis C. Barlow was a prominent Union general of the American Civil War, known for his aggressive leadership in major battles such as Antietam, Chancellorsville, and Gettysburg.
-
E.
George W. Gage
George W. Gage was a prominent 19th-century Chicago businessman and civic leader after whom Gage Park in Chicago is named.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45214d44c8190b1bf04bf24ab8e81 |
completed | April 19, 2026, 3:55 a.m. |
Created at: April 10, 2026, 5:48 a.m.