Triple
T10516013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Cheney Greeley |
E248033
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Greeley |
E79389
|
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: Greeley | Statement: [Mary Cheney Greeley, familyName, Greeley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greeley Context triple: [Mary Cheney Greeley, familyName, Greeley]
-
A.
Greeley
chosen
Greeley is a city in northern Colorado known for its agricultural roots, growing population, and role as a regional economic and educational center.
-
B.
Broomfield
Broomfield is a consolidated city and county in north-central Colorado, known for its suburban communities, tech employers, and location between Denver and Boulder along the Front Range.
-
C.
Broomfield
Broomfield is a village and civil parish in Essex, England, situated just north of the city of Chelmsford.
-
D.
Longmont
Longmont is a mid-sized city in northern Colorado known for its proximity to the Rocky Mountains, growing tech and craft brewing scenes, and role as a residential and commercial hub along the Front Range.
-
E.
Fort Collins
Fort Collins is a mid-sized Colorado city known for Colorado State University, a vibrant craft beer scene, and its historic Old Town that inspired Disneyland’s Main Street, U.S.A.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509cc58b081908ef15aa89b396db6 |
completed | April 7, 2026, 1:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dfbd364819087c70d3b3580eb7a |
completed | April 10, 2026, 2:49 p.m. |
Created at: April 6, 2026, 12:28 p.m.