Triple
T18905413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Blumenauer |
E462449
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Blumenauer |
—
|
NE NERFINISHED |
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: Blumenauer | Statement: [Earl Blumenauer, familyName, Blumenauer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blumenauer Context triple: [Earl Blumenauer, familyName, Blumenauer]
-
A.
Earl Blumenauer
chosen
Earl Blumenauer is a long-serving Democratic U.S. Representative from Oregon known for his advocacy on transportation, environmental policy, and urban planning.
-
B.
Kitzhaber
Kitzhaber is the surname of John Kitzhaber, an American politician and former governor of Oregon.
-
C.
Derek Kilmer
Derek Kilmer is an American politician and Democratic member of the U.S. House of Representatives from Washington state.
-
D.
Ron Wyden
Ron Wyden is a long-serving Democratic U.S. Senator from Oregon known for his work on tax policy, health care, and digital privacy and surveillance issues.
-
E.
Jeff Merkley
Jeff Merkley is a Democratic U.S. Senator from Oregon known for his progressive stances on issues such as climate change, financial reform, and social justice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52c121c8190a2057b99c723694b |
completed | April 20, 2026, 6:18 a.m. |
Created at: April 10, 2026, 11:58 a.m.