Triple
T17079762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Mather |
E414439
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Mather |
E665026
|
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: Mather | Statement: [Samuel Mather, familyName, Mather]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mather Context triple: [Samuel Mather, familyName, Mather]
-
A.
Mather
chosen
Mather is a surname most notably associated with the prominent New England Puritan minister and author Cotton Mather and his influential family.
-
B.
Mather
Mather is a community in Sacramento County, California, known for its former Air Force base and its role within the Sacramento metropolitan area.
-
C.
Berkely Mather
Berkely Mather was a British writer and screenwriter known for his crime and adventure novels as well as his work on several mid-20th-century films.
-
D.
Arbella
Arbella was the flagship that carried John Winthrop and other Puritan settlers to New England during the Great Migration of 1630.
-
E.
Revere
Revere is a surname most notably associated with American historical figure Paul Revere and various other individuals in politics, arts, and public life.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbe24a6481908b4596c95220df4a |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee243c081909aa6d470e002222a |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.