Triple
T22545298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen |
E557405
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Stevens |
—
|
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: Stevens | Statement: [Stephen, hasVariant, Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stevens Context triple: [Stephen, hasVariant, Stevens]
-
A.
Stevens
chosen
Stevens is a common English-language surname borne by numerous notable individuals across fields such as sports, politics, arts, and academia.
-
B.
Stevens
Stevens is a historic American firearms brand known for producing affordable rifles and shotguns, now owned and marketed by Savage Arms.
-
C.
O'Shaughnessy
O'Shaughnessy is an Irish surname historically associated with families originating from County Galway, Ireland.
-
D.
Brant
Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
-
E.
Brant
Brant is a regional municipality in southwestern Ontario, Canada, known for encompassing Brant County and several rural communities near the city of Brantford.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f34a0688190ad55be067db8e21b |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.