Triple
T9840850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen Miller |
E239219
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Stephen Miller |
E519601
|
NE FINISHED |
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: Stephen Miller | Statement: [Stephen Miller, name, Stephen Miller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stephen Miller Context triple: [Stephen Miller, name, Stephen Miller]
-
A.
Stephen Miller
Stephen Miller was an American politician and military officer who served as the fourth governor of Minnesota and played a key role in the U.S. response to the Dakota War of 1862.
-
B.
Stephen Miller
chosen
Stephen Miller is an American political advisor best known as a senior policy aide and influential architect of hardline immigration policies in the Trump administration.
-
C.
Peter Navarro
Peter Navarro is an American economist and former White House trade adviser known for his hardline views on China and key role in shaping the Trump administration’s trade and economic policies.
-
D.
Mark Meadows
Mark Meadows is an American politician and former U.S. Representative who served as a close ally of Donald Trump and played a key role in his administration and post-election efforts.
-
E.
Todd Haberman
Todd Haberman is a film and television composer known for his work on the drama series "9-1-1."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34c920c81909b56ed9936b15f9b |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5d5484c8190a78ccd0e9816ba51 |
completed | April 5, 2026, 3:24 a.m. |
Created at: March 30, 2026, 8:33 p.m.