Triple
T797484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Klain |
E17054
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object | Joe Biden |
E8825
|
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: Joe Biden | Statement: [Ron Klain, workedFor, Joe Biden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Biden Context triple: [Ron Klain, workedFor, Joe Biden]
-
A.
Joe Biden
chosen
Joe Biden is the 46th president of the United States, a longtime Democratic politician who previously served as vice president under Barack Obama and as a U.S. senator from Delaware.
-
B.
Jim Carter
Jim Carter is an English actor best known for his role as butler Mr. Carson in the television series "Downton Abbey."
-
C.
William Davis
William Davis was a settler who is historically remembered as one of the notable victims killed during the 1862 Indian Creek massacre in Illinois.
-
D.
Jimmy Carter
Jimmy Carter is the 39th president of the United States, known for his emphasis on human rights, diplomatic efforts such as the Camp David Accords, and extensive humanitarian work after leaving office.
-
E.
Bill Clement
Bill Clement is a former NHL center who became a prominent American television hockey analyst and commentator.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b342888190a344fe81a2c9f33c |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac939b0fbc8190a205a5033568ba9c |
completed | March 7, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:38 p.m.