Triple
T13383143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Locke |
E319368
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gary Locke |
E319368
|
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: Gary Locke | Statement: [Gary Locke, name, Gary Locke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Locke Context triple: [Gary Locke, name, Gary Locke]
-
A.
Gary Locke
chosen
Gary Locke is an American politician and diplomat who served as Governor of Washington, U.S. Secretary of Commerce, and U.S. Ambassador to China.
-
B.
Ted Kulongoski
Ted Kulongoski is an American Democratic politician and attorney who served as the 36th governor of Oregon from 2003 to 2011.
-
C.
Slade Gorton
Slade Gorton was an American Republican politician from Washington who served as a U.S. Senator and later as a member of the 9/11 Commission.
-
D.
Paul M. Nakasone
Paul M. Nakasone is a United States Army general and prominent intelligence leader who has served as the head of U.S. cyber and signals intelligence operations.
-
E.
Jim Kripps
Jim Kripps is a fictional character appearing in the work titled "The Silence."
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.