Triple
T11809524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenneth A. Polite Jr. |
E280833
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Kenneth A. Polite Jr. |
E280833
|
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: Kenneth A. Polite Jr. | Statement: [Kenneth A. Polite Jr., name, Kenneth A. Polite Jr.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth A. Polite Jr. Context triple: [Kenneth A. Polite Jr., name, Kenneth A. Polite Jr.]
-
A.
Kenneth A. Polite Jr.
chosen
Kenneth A. Polite Jr. is an American lawyer and former U.S. Attorney who led the U.S. Department of Justice’s Criminal Division.
-
B.
Charles A. Jewell
Charles A. Jewell was an American naval officer who served as a rear admiral in the United States Navy.
-
C.
Thomas E. Ackerman
Thomas E. Ackerman is an American cinematographer known for his work on popular films including the dark comedy-fantasy "Beetlejuice."
-
D.
Kenneth S. Reightler Jr.
Kenneth S. Reightler Jr. is a former NASA astronaut and U.S. Navy captain who flew on two Space Shuttle missions in the early 1990s.
-
E.
Phillip A. Talbert
Phillip A. Talbert is a federal prosecutor who serves as the United States Attorney for the Eastern District of California.
- 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_69d6ab26aae88190b2489efcb2a24234 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5ca50a081908a198b336d8c2b98 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f13188b89c819095ba5d27de7ebbb2 |
completed | April 28, 2026, 10:15 p.m. |
Created at: April 8, 2026, 9:42 p.m.