Triple
T6211222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caroline Harrison |
E138874
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Oxford, Ohio |
E446523
|
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: Oxford, Ohio | Statement: [Caroline Harrison, placeOfBirth, Oxford, Ohio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oxford, Ohio Context triple: [Caroline Harrison, placeOfBirth, Oxford, Ohio]
-
A.
Oxford, Ohio
chosen
Oxford, Ohio is a small college town in southwestern Ohio best known as the home of Miami University.
-
B.
Dublin, Ohio
Dublin, Ohio is a suburban city northwest of Columbus known for its affluent neighborhoods, strong school system, and annual Dublin Irish Festival.
-
C.
Oakwood, Ohio
Oakwood, Ohio is a small, affluent suburban city near Dayton known for its historic homes, strong public schools, and tree-lined residential neighborhoods.
-
D.
Montgomery, Ohio
Montgomery, Ohio is a suburban city in Hamilton County near Cincinnati, known for its historic charm, affluent residential character, and well-regarded schools.
-
E.
Urbana, Ohio
Urbana, Ohio is a small city in Champaign County known for its historic downtown, role as the county seat, and proximity to both Dayton and Springfield in southwestern Ohio.
- 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_69c008ada364819096c9e92c74d639b5 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062896f3881909f264bb45badc5d0 |
completed | March 22, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c80294e8bc8190bfaab1d02e1640a6 |
completed | March 28, 2026, 4:32 p.m. |
Created at: March 22, 2026, 4:21 p.m.