Triple
T15993882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabella Mary Mayson |
E387908
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mayson |
E862493
|
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: Mayson | Statement: [Isabella Mary Mayson, familyName, Mayson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayson Context triple: [Isabella Mary Mayson, familyName, Mayson]
-
A.
Mayson
chosen
Mayson is a given name and surname that serves as an alternative spelling of Mason.
-
B.
Mahieu
Mahieu is a surname of likely French or Belgian origin borne by individuals such as Hester Mahieu.
-
C.
Mervynne
Mervynne is a less common variant spelling of the given name Mervyn, typically used as a feminine or stylistic form.
-
D.
Magaisa
Magaisa is a Zimbabwean surname most notably associated with the late constitutional law expert and political commentator Alex Magaisa.
-
E.
Moissat
Moissat is a small commune in central France’s Puy-de-Dôme department, known for its rural character within the Auvergne region.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785347081908831b4cbc9a2dd45 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d5d72081908aa235c5ad9b5707 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.