Triple
T5961634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOAA Ship Ronald H. Brown |
E132651
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Ron Brown |
E559119
|
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: Ron Brown | Statement: [NOAA Ship Ronald H. Brown, namedAfter, Ron Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ron Brown Context triple: [NOAA Ship Ronald H. Brown, namedAfter, Ron Brown]
-
A.
Ronald H. Brown
chosen
Ronald H. Brown was the first African American U.S. Secretary of Commerce and a prominent lawyer and political leader who served in the Clinton administration.
-
B.
Ronald G. Brown
Ronald G. Brown is an author known for writing the work titled "Honey."
-
C.
Jack C. Haldeman II
Jack C. Haldeman II was an American science fiction author known for his short stories and collaborations, including works co-written with his wife, writer Barbara Delaplace.
-
D.
John M. Deutch
John M. Deutch is an American chemist, academic, and former Director of Central Intelligence known for his leadership roles in U.S. government and his long career as a professor at MIT.
-
E.
Fred Brown
Fred Brown is a former American professional basketball guard best known for his long tenure and sharpshooting with the Seattle SuperSonics in the 1970s and early 1980s.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039ff421c819085fc92f0b707d31b |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1083361e08190aaba9e99a856e015 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:02 p.m.