Triple
T14497487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brian A. Benczkowski |
E359539
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Brian A. Benczkowski |
—
|
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: Brian A. Benczkowski | Statement: [Brian A. Benczkowski, name, Brian A. Benczkowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian A. Benczkowski Context triple: [Brian A. Benczkowski, name, Brian A. Benczkowski]
-
A.
Brian A. Benczkowski
chosen
Brian A. Benczkowski is an American lawyer and former senior U.S. Department of Justice official who led the Criminal Division under the Trump administration.
-
B.
Christopher D. Lozinski
Christopher D. Lozinski is a film editor known for his work on the animated superhero movie "Batman: The Killing Joke" (2016).
-
C.
Michael E. Bakich
Michael E. Bakich is an American astronomy writer, editor, and popularizer of observational astronomy, long associated with Astronomy magazine.
-
D.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
E.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9311cc748190880c784f173b7f2b |
completed | April 14, 2026, 7:18 p.m. |
Created at: April 10, 2026, 1:21 a.m.