Triple
T19300672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C. L. Dellums |
E482685
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Ron Dellums |
—
|
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: Ron Dellums | Statement: [C. L. Dellums, relative, Ron Dellums]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Dellums Context triple: [C. L. Dellums, relative, Ron Dellums]
-
A.
Ron Dellums
chosen
Ron Dellums was a prominent African American congressman and anti-war activist from California known for his leadership on civil rights, social justice, and opposition to apartheid.
-
B.
C. L. Dellums
C. L. Dellums was a prominent African American labor leader and civil rights activist who helped advance Black workers’ rights and racial equality in the United States.
-
C.
John Garamendi
John Garamendi is an American politician and public official who has served in roles including California insurance commissioner and U.S. Representative.
-
D.
Dan Lungren
Dan Lungren is an American Republican politician and former California Attorney General who later served as a U.S. Representative in Congress.
-
E.
Ron Davis
Ron Davis is an editor known for his work on the publication "Queen and Country."
- 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_69d8e8d04d5c8190baa816986f2b1d1e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc895c68819096d06746f1b84e06 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.