Triple
T21199258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Zinke |
E522408
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Zinke |
—
|
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: Zinke | Statement: [Ryan Zinke, familyName, Zinke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zinke Context triple: [Ryan Zinke, familyName, Zinke]
-
A.
Ryan Zinke
chosen
Ryan Zinke is an American politician and former U.S. Navy SEAL who served as the United States Secretary of the Interior under President Donald Trump.
-
B.
Andrej Kiska
Andrej Kiska is a Slovak entrepreneur and philanthropist who served as the President of Slovakia from 2014 to 2019.
-
C.
Dirksen
Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
-
D.
James Whitaker
James Whitaker is a film cinematographer known for his work on feature films such as the comedy-drama "Troop Zero."
-
E.
Adam Hicks
Adam Hicks is an American actor and rapper best known for his roles in Disney Channel productions such as "Pair of Kings" and "Zeke and Luther."
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7342fe3a08190b7ed2cadf60091a8 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 3:17 p.m.