Triple
T18297339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich Lowry |
E438264
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rich Lowry |
—
|
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: Rich Lowry | Statement: [Rich Lowry, name, Rich Lowry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rich Lowry Context triple: [Rich Lowry, name, Rich Lowry]
-
A.
Rich Lowry
chosen
Rich Lowry is an American conservative political commentator, author, and longtime editor-in-chief of the National Review magazine.
-
B.
Christopher Caldwell
Christopher Caldwell is an American journalist and author known for his commentary on politics, culture, and European affairs.
-
C.
William Kristol
William Kristol is an American neoconservative political analyst and commentator, best known as a co-founder of the Weekly Standard and a prominent advocate of interventionist U.S. foreign policy.
-
D.
George F. Will
George F. Will is a prominent American conservative political commentator, columnist, and author known for his erudite writing and long-running syndicated columns on U.S. politics and public affairs.
-
E.
Mark R. Harris
Mark R. Harris is an American film producer best known for his work on the Academy Award–winning drama "Crash" (2004).
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017cc540819096c103a2c72315e6 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.