Triple
T19389618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Wells |
E485029
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wells |
—
|
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: Wells | Statement: [Susan Wells, familyName, Wells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wells Context triple: [Susan Wells, familyName, Wells]
-
A.
Wells
Wells is a small city in northeastern Nevada known as a historic railroad and travel junction near the intersection of Interstate 80 and U.S. Route 93.
-
B.
Wells
Wells is a historic cathedral city in Somerset, England, renowned for its medieval architecture and status as one of the smallest cities in the country.
-
C.
Wells
Wells is a small town in southwestern Vermont known for its rural character and proximity to Lake St. Catherine.
-
D.
Wells
chosen
Wells is a common English surname borne by numerous notable individuals across literature, politics, science, and the arts.
-
E.
Wells
Wells is the former name of the community now known as Keene in Kern County, California.
- 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_69d8e8d460d88190abf0591c5c9d2b0c |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e61b4328448190b6347c41265e820c |
completed | April 20, 2026, 12:25 p.m. |
Created at: April 10, 2026, 1:36 p.m.