Triple
T6735357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ida Saxton McKinley |
E153740
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Saxton |
E335354
|
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: Saxton | Statement: [Ida Saxton McKinley, familyName, Saxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saxton Context triple: [Ida Saxton McKinley, familyName, Saxton]
-
A.
Screveton
Screveton is a small rural village and civil parish in Nottinghamshire, England, known for its historic church and traditional countryside character.
-
B.
Southworth
Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
-
C.
Westcott
Westcott is a village in the Mole Valley district of Surrey, England, known for its rural setting in the Surrey Hills.
-
D.
Bancroft
chosen
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
E.
Tilghman
Tilghman is a masculine given name of English origin that has been borne by various notable American figures, including politicians and military officers.
- 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_69c6880bdd68819097de8b6099992682 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16ecbe08190b019d547f631a725 |
completed | March 27, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70b0703288190906cfcaba9d9c85a |
completed | March 27, 2026, 10:56 p.m. |
Created at: March 27, 2026, 2:09 p.m.