Triple
T14382057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ernest Gruening |
E356625
|
entity |
| Predicate | officeEndTime (U.S. senator from Alaska) |
P72166
|
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: [Ernest Gruening, officeEndTime (U.S. senator from Alaska), 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeEndTime (U.S. senator from Alaska) Context triple: [Ernest Gruening, officeEndTime (U.S. senator from Alaska), 1969]
-
A.
officeEndTime (United States Senator)
chosen
Indicates the time at which a United States Senator’s term in office concludes.
-
B.
officeEndTime (Senate President)
Indicates the time at which the Senate President’s term in office concludes.
-
C.
officeEndTime (U.S. Representative)
Indicates the time at which a U.S. Representative’s term in office concludes.
-
D.
officeEndTime (Governor of Nebraska)
Indicates the time at which the Governor of Nebraska’s term in office concludes.
-
E.
officeEndTime (Governor of Maine)
Indicates the time at which the Governor of Maine’s term in office ends.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de900d28c88190a37feee4743563de |
completed | April 14, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69de2a9cb3e081909f6b33fdd939bb9e |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.