Triple
T37703942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Strickland |
E939144
|
entity |
| Predicate | officeStartForGovernorOfOhio |
P202182
|
FINISHED |
| Object | 2007-01-08 |
—
|
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: 2007-01-08 | Statement: [Ted Strickland, officeStartForGovernorOfOhio, 2007-01-08]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartForGovernorOfOhio Context triple: [Ted Strickland, officeStartForGovernorOfOhio, 2007-01-08]
-
A.
termStartAsOhioSecretaryOfState
Indicates the date or point in time when an individual begins serving in the role of Ohio Secretary of State.
-
B.
officeStartForPresident
Indicates the date or point in time when a person begins serving in the role of president.
-
C.
officeStartForGovernorOfTaiwanProvince
Indicates the date on which an individual begins their term of office as the Governor of Taiwan Province.
-
D.
termStartAsAttorneyGeneralOfOhio
Indicates the date or point in time when an individual begins serving in the official role of Attorney General of Ohio.
-
E.
startTimeOfRole_capital of Ohio
Indicates the point in time when an entity began serving in the role of capital of Ohio.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a005d878aec81908e1177914a8fb610 |
completed | May 10, 2026, 10:27 a.m. |
| PD | Predicate disambiguation | batch_6a005c382f8881908ff33ebb7f88c430 |
completed | May 10, 2026, 10:21 a.m. |
| PDg | Predicate description generation | batch_6a005d86d6e481909e9f6ae81568cfb8 |
completed | May 10, 2026, 10:27 a.m. |
Created at: May 3, 2026, 4:18 p.m.