Triple
T19903657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Amash |
E478356
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Justin Amash |
—
|
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: Justin Amash | Statement: [Justin Amash, name, Justin Amash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Amash Context triple: [Justin Amash, name, Justin Amash]
-
A.
Justin Amash
chosen
Justin Amash is an American politician and attorney known for his libertarian-leaning views, service as a U.S. Representative from Michigan, and eventual departure from the Republican Party to become an independent and later a Libertarian.
-
B.
Christian Chabot
Christian Chabot is an American entrepreneur best known as the co-founder and former CEO of the data visualization software company Tableau.
-
C.
Eric Swalwell
Eric Swalwell is a Democratic U.S. Representative from California known for his work on national security, intelligence, and technology policy.
-
D.
Justin Wilcox
Justin Wilcox is an American college football coach best known as the head coach of the University of California, Berkeley Golden Bears.
-
E.
Jim Himes
Jim Himes is a Democratic U.S. Representative known for serving Connecticut in Congress, particularly on financial and intelligence policy issues.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65944c55481909b54a8f9a9c087d6 |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.