Triple
T25980161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taft Memorial Association |
E646044
|
entity |
| Predicate | honorsOfficeHolder |
P161674
|
FINISHED |
| Object | Senator from Ohio |
—
|
LITERAL 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: Senator from Ohio | Statement: [Taft Memorial Association, honorsOfficeHolder, Senator from Ohio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsOfficeHolder Context triple: [Taft Memorial Association, honorsOfficeHolder, Senator from Ohio]
-
A.
electoralOfficeHolder
Indicates that one entity holds or occupies a particular elected office or position in a political or electoral system.
-
B.
officeHolders
Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
-
C.
appointedOfficeHolders
Indicates that an authority or body has formally selected and installed specific individuals into particular offices or positions.
-
D.
officeHolderOf
Indicates that a person holds or has held an official position or role within a specified organization, institution, or office.
-
E.
officeHoldersAssist
Indicates that one office holder provides help or support to another office holder in carrying out their duties.
- F. None of above. chosen
Provenance (4 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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6200ac60481909895c61d050b1338 |
completed | May 2, 2026, 4:02 p.m. |
| PD | Predicate disambiguation | batch_69f61b3a8ae0819090189fbd8eb19f2f |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 22, 2026, 8:54 a.m.