Triple
T33333766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States one-dollar bill (1860s series, as Treasury Secretary) |
E853479
|
entity |
| Predicate | depictsPersonFrom |
P85355
|
FINISHED |
| Object | Ohio |
—
|
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: Ohio | Statement: [United States one-dollar bill (1860s series, as Treasury Secretary), depictsPersonFrom, Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsPersonFrom Context triple: [United States one-dollar bill (1860s series, as Treasury Secretary), depictsPersonFrom, Ohio]
-
A.
depictsPerson
Indicates that one entity visually represents or portrays a specific person.
-
B.
depictsPeopleFrom
chosen
Indicates that one entity visually represents or portrays people originating from or associated with another entity.
-
C.
depictedSubject
Indicates that one entity visually represents or portrays another entity as its subject in an image or depiction.
-
D.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
E.
depictsName
Indicates that something visually represents or portrays the name of an entity.
- F. None of above.
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_69f34969614c81909cd99661b0902533 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 1, 2026, 1:34 a.m.