Triple
T20990939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Camden |
E517021
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Camden |
—
|
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: Camden | Statement: [Mary Camden, familyName, Camden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camden Context triple: [Mary Camden, familyName, Camden]
-
A.
Camden
Camden is a city in New Jersey located directly across the Delaware River from Philadelphia, known historically as an industrial hub and for its proximity to the larger Philadelphia metropolitan area.
-
B.
Camden
Camden is a small city located in Ray County, Missouri, in the central United States.
-
C.
Camden
Camden is a historic town in the Macarthur region of New South Wales, Australia, known for its semi-rural character and colonial heritage on Sydney’s southwestern fringe.
-
D.
Camden
Camden is a small unincorporated community in Madison County, Mississippi, known for its rural character and historic Southern setting.
-
E.
Camden
Camden is a vibrant inner borough of London known for its alternative culture, markets, live music venues, and canalside atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69e0b4ffac148190bbade9f0eceb660b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fc1ba3d0819080d9d03817a45026 |
completed | April 21, 2026, 4:24 a.m. |
Created at: April 16, 2026, 1:50 p.m.