Triple
T26080898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiro Agnew |
E657836
|
entity |
| Predicate | officeEndTime (Governor of Maryland) |
P178998
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [Spiro Agnew, officeEndTime (Governor of Maryland), 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (Governor of Maryland) Context triple: [Spiro Agnew, officeEndTime (Governor of Maryland), 1969]
-
A.
officeStartTime (Governor of Maryland)
Indicates the time at which the Governor of Maryland officially begins their term in office.
-
B.
officeEndTime (Governor of Maine)
Indicates the time at which the Governor of Maine’s term in office ends.
-
C.
officeEndTime (Governor of Michigan)
Indicates the time at which the Governor of Michigan’s term in office concludes.
-
D.
officeEndTime (Governor of New Jersey)
Indicates the time at which a person’s tenure as Governor of New Jersey comes to an end.
-
E.
officeEndTime (Governor of North Carolina)
Indicates the time at which a Governor of North Carolina’s term in office concludes.
- 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_69ee5bbf0d208190801ee95d4f07fb16 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71995853c8190912025c0e83640c8 |
completed | May 3, 2026, 9:47 a.m. |
Created at: April 26, 2026, 7:38 p.m.