Triple
T8111269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rob Bonta |
E189358
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rob Bonta |
E189358
|
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: Rob Bonta | Statement: [Rob Bonta, name, Rob Bonta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Bonta Context triple: [Rob Bonta, name, Rob Bonta]
-
A.
Rob Bonta
chosen
Rob Bonta is an American lawyer and politician who serves as California’s Attorney General and is known as the first Filipino American to hold the position.
-
B.
Willie Brown
Willie Brown was a Hall of Fame NFL cornerback best known for his long tenure and three Super Bowl titles with the Oakland Raiders.
-
C.
David Newsom
David Newsom is a notable individual who shares the Newsom surname, recognized enough to be specifically distinguished as a bearer of the name.
-
D.
Mark Amodei
Mark Amodei is a Republican U.S. Representative from Nevada known for his conservative positions on fiscal and public lands issues.
-
E.
Gavin Newsom
Gavin Newsom is an American politician and member of the Democratic Party who serves as the governor of California and is known for his progressive policies on issues such as climate change, healthcare, and social justice.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc942a9af881908b7ddc724755893e |
completed | April 1, 2026, 3:42 a.m. |
Created at: March 30, 2026, 5:32 p.m.