Triple
T7380517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherrod Brown |
E170234
|
entity |
| Predicate | termStartAsOhioSecretaryOfState |
P76674
|
FINISHED |
| Object | 1983-01-10 |
—
|
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: 1983-01-10 | Statement: [Sherrod Brown, termStartAsOhioSecretaryOfState, 1983-01-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartAsOhioSecretaryOfState Context triple: [Sherrod Brown, termStartAsOhioSecretaryOfState, 1983-01-10]
-
A.
termStartAsAttorneyGeneralOfOhio
Indicates the date or point in time when an individual begins serving in the official role of Attorney General of Ohio.
-
B.
termStartAsCaliforniaSecretaryOfState
Indicates the date or point in time when an individual begins serving in the role of California Secretary of State.
-
C.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
D.
termStartAsActingGovernor
Indicates that a person’s term in office began while they were serving in the capacity of an acting governor rather than as a fully appointed or elected governor.
-
E.
termStartAsAttorneyGeneralOfCalifornia
Indicates the date or point in time when an individual began serving as the Attorney General of California.
- 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_69c68a5d0ed08190b6d361e68f813330 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1c61484819087874d4e7f9fd791 |
completed | March 27, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f0ebf9c88190af5a4d87d3fd338a |
completed | March 27, 2026, 9:04 p.m. |
Created at: March 27, 2026, 3:08 p.m.