Triple
T21130554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenian American |
E520671
|
entity |
| Predicate | notablePerson |
P304
|
FINISHED |
| Object | Amy Klobuchar |
—
|
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: Amy Klobuchar | Statement: [Slovenian American, notablePerson, Amy Klobuchar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Klobuchar Context triple: [Slovenian American, notablePerson, Amy Klobuchar]
-
A.
Amy Klobuchar
chosen
Amy Klobuchar is a U.S. senator from Minnesota and a prominent moderate Democrat known for her work on antitrust, consumer protection, and bipartisan legislation.
-
B.
Tammy Baldwin
Tammy Baldwin is a U.S. Senator from Wisconsin and the first openly gay woman elected to both the U.S. House of Representatives and the U.S. Senate.
-
C.
Jane Frazee
Jane Frazee was an American actress and singer best known for her roles in 1940s musical comedies and wartime films.
-
D.
Maggie Hassan
Maggie Hassan is an American Democratic politician and former governor who serves as a U.S. Senator representing New Hampshire.
-
E.
Patty Murray
Patty Murray is a long-serving Democratic U.S. senator from Washington known for her leadership roles in the Senate and work on budget, education, and health policy.
- 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_69e0b50b53048190ae34e8abbe3c5ada |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723556ec08190a2ade96c76f9cec7 |
completed | April 21, 2026, 7:12 a.m. |
Created at: April 16, 2026, 2:56 p.m.