Triple
T19580244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oregon’s 6th congressional district |
E489967
|
entity |
| Predicate | hasRepresentative |
P192
|
FINISHED |
| Object | Andrea Salinas |
—
|
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: Andrea Salinas | Statement: [Oregon’s 6th congressional district, hasRepresentative, Andrea Salinas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrea Salinas Context triple: [Oregon’s 6th congressional district, hasRepresentative, Andrea Salinas]
-
A.
Andrea Salinas
chosen
Andrea Salinas is a Democratic U.S. Representative from Oregon known for her work on voting rights, environmental policy, and healthcare access.
-
B.
Andrea Navedo
Andrea Navedo is an American actress best known for her role as Xiomara Villanueva on the television series "Jane the Virgin."
-
C.
Andrea Cantillo
Andrea Cantillo is a kind-hearted single mother and recovering addict who becomes Jesse Pinkman’s love interest in the television series "Breaking Bad."
-
D.
Marisa Echeverria
Marisa Echeverria is an actress known for her role in the horror film "The Bye Bye Man."
-
E.
Andrea Roa
Andrea Roa is a film producer known for her work on the psychological horror movie "It Comes at Night."
- 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_69d8e8dd9374819098e36349b3211663 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6402763b8819099e535979f094f9d |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:42 p.m.