Triple
T37703943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ted Strickland |
E939144
|
entity |
| Predicate | officeEndForGovernorOfOhio |
P202192
|
FINISHED |
| Object | 2011-01-10 |
—
|
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: 2011-01-10 | Statement: [Ted Strickland, officeEndForGovernorOfOhio, 2011-01-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndForGovernorOfOhio Context triple: [Ted Strickland, officeEndForGovernorOfOhio, 2011-01-10]
-
A.
officeStartForGovernorOfOhio
Indicates the date on which an individual begins their term in office as the Governor of Ohio.
-
B.
termEndAsOhioSecretaryOfState
Indicates the date or point in time when an individual's service as Ohio Secretary of State concludes.
-
C.
officeEndForSecondTermAsGovernor
Indicates the date or point in time when an individual’s second term serving as governor comes to an end.
-
D.
officeEndForGovernorOfTaiwanProvince
Indicates the date or event marking when a person’s term as Governor of Taiwan Province comes to an end.
-
E.
endTimeOfRole_capital of Ohio
Indicates the time at which a particular role or status as the capital of Ohio comes to an end.
- 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_6a005e8a2f7c819085bfc6f04b866d87 |
completed | May 10, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_6a005de82ef08190a015b385d1d3443c |
completed | May 10, 2026, 10:28 a.m. |
| PDg | Predicate description generation | batch_6a005e89803c8190ad732ad15affb81f |
completed | May 10, 2026, 10:31 a.m. |
Created at: May 3, 2026, 4:18 p.m.