Triple
T22216841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brice Marden |
E549095
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Marden |
—
|
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: Marden | Statement: [Brice Marden, familyName, Marden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marden Context triple: [Brice Marden, familyName, Marden]
-
A.
Marden
chosen
Marden is a surname most notably associated with the American minimalist painter Brice Marden.
-
B.
Marden
Marden is a village in Kent, England, known for its rural character and agricultural surroundings.
-
C.
Morravey
Morravey is a Nigerian singer and songwriter known for her melodic Afrobeats sound and collaborations under Davido’s DMW label.
-
D.
Magden
Magden is a Swiss municipality in the Fricktal region of the canton of Aargau, known for its rural character and proximity to the city of Basel.
-
E.
Mortain
Mortain is a town in Normandy, France, known as the focal point of a major German counteroffensive during the Battle of Normandy in World War II.
- 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_69e11e3f7e04819089806d81d5ac431e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8c9d488190a59f571862997304 |
completed | April 28, 2026, 9:50 p.m. |
Created at: April 16, 2026, 8:37 p.m.