Triple
T8535262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Cameron |
E202061
|
entity |
| Predicate | startTimeOfPosition United States senator (second tenure) |
P72165
|
FINISHED |
| Object | 1867 |
—
|
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: 1867 | Statement: [Simon Cameron, startTimeOfPosition United States senator (second tenure), 1867]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfPosition United States senator (second tenure) Context triple: [Simon Cameron, startTimeOfPosition United States senator (second tenure), 1867]
-
A.
officeStartTime (United States Senator)
chosen
Indicates the time at which a United States Senator’s term in office officially begins.
-
B.
startTime (Senate Minority Leader, second term)
Indicates the point in time when the Senate Minority Leader’s second term officially begins.
-
C.
startTime (United States Senator from Indiana)
Indicates the point in time at which a person begins serving as a United States Senator from Indiana.
-
D.
startTimeMemberOfCongressSecondTerm
Indicates the date and time at which an individual begins serving their second term as a member of a legislative congress.
-
E.
endTimeAsUSSenator
Indicates the date and time at which an individual’s service as a U.S. Senator concludes.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a295c88190a432a060ee73f04e |
completed | March 31, 2026, 3:22 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.