Triple
T26080897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiro Agnew |
E657836
|
entity |
| Predicate | officeStartTime (Governor of Maryland) |
P178754
|
FINISHED |
| Object | 1967 |
—
|
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: 1967 | Statement: [Spiro Agnew, officeStartTime (Governor of Maryland), 1967]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeStartTime (Governor of Maryland) Context triple: [Spiro Agnew, officeStartTime (Governor of Maryland), 1967]
-
A.
officeStartTime (Governor of Maine)
Indicates the time at which the Governor of Maine officially begins their term in office.
-
B.
officeStartTime (Governor of Michigan)
Indicates the time at which the Governor of Michigan officially begins their term in office.
-
C.
officeStartTime (Governor of South Carolina)
Indicates the time at which the Governor of South Carolina officially begins their term in office.
-
D.
officeStartTime (Governor of New Jersey)
Indicates the time at which the Governor of New Jersey officially begins their term in office.
-
E.
officeStartTime (Governor of California)
Indicates the time at which the Governor of California officially begins their term in office.
- 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_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: April 26, 2026, 7:38 p.m.