Triple
T2968878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. K. Ogden |
E80232
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ogden |
E325782
|
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: Ogden | Statement: [C. K. Ogden, familyName, Ogden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ogden Context triple: [C. K. Ogden, familyName, Ogden]
-
A.
Ogden
chosen
Ogden is a masculine given name of English origin that has been used by several notable American figures, including politicians and philanthropists.
-
B.
Ogden, Utah
Ogden, Utah is a city in northern Utah known as a historic railroad hub and gateway to nearby ski resorts and outdoor recreation in the Wasatch Mountains.
-
C.
Lindon, Utah
Lindon, Utah is a small suburban city in Utah County situated along the Wasatch Front between Orem and Pleasant Grove.
-
D.
Cottonwood Heights
Cottonwood Heights is a suburban city in northern Utah known for its proximity to the Wasatch Mountains and popular ski resorts.
-
E.
Provo
Provo is the largest and most developed island in the Turks and Caicos Islands, known for its luxury resorts and famous Grace Bay Beach.
- 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_69ad8b14ffe881908ffed62f9595c867 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9970e2c08190affa5efedb9aad75 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bab35a0819081b6c568606b4c37 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 2:58 p.m.