Triple
T6725240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lady Diana Mayo |
E153499
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mayo |
E399598
|
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: Mayo | Statement: [Lady Diana Mayo, familyName, Mayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayo Context triple: [Lady Diana Mayo, familyName, Mayo]
-
A.
Mayo
The Mayo are an Indigenous people of northwestern Mexico, primarily inhabiting the state of Sonora and known for their rich agricultural traditions and ceremonial dances.
-
B.
Mayo
chosen
Mayo is a surname most prominently associated with the American medical family that co-founded the Mayo Clinic.
-
C.
Gustavus
Gustavus is a Latinized masculine given name historically borne by several Swedish kings and used in various European and English-speaking contexts.
-
D.
Marquette
Marquette is a French surname most notably associated with the 17th-century Jesuit missionary and explorer Jacques Marquette, after whom various places and institutions in North America are named.
-
E.
Marquette
Marquette is a city in Michigan’s Upper Peninsula known as a key shipping and commercial hub on the southern shore of Lake Superior.
- 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d14fb1a8819083287ca8bb576bba |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c700a34e248190ba9d73437b19a96d |
completed | March 27, 2026, 10:11 p.m. |
Created at: March 27, 2026, 2:08 p.m.