Triple
T12063354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruth Charney |
E287229
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | Ronald Brown |
E634846
|
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: Ronald Brown | Statement: [Ruth Charney, doctoralAdvisor, Ronald Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald Brown Context triple: [Ruth Charney, doctoralAdvisor, Ronald Brown]
-
A.
Ronald Brown
chosen
Ronald Brown is a British mathematician known for his influential work in algebraic topology, particularly in higher-dimensional group theory and homotopy theory.
-
B.
Ronald G. Brown
Ronald G. Brown is an author known for writing the work titled "Honey."
-
C.
Bill Brown
Bill Brown is an American composer best known for his work on video game soundtracks and film and television scores, including the music for Quake II.
-
D.
Ronald H. Brown
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.
-
E.
Paul R. Brown
Paul R. Brown is an American music video and commercial director and photographer known for his visually distinctive work with numerous rock and metal bands.
- 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_69d6ab4846e081908ee7bbd66a6d3459 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90440dd988190ae2b80367aceb6f7 |
completed | April 10, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f654eb1881908d656009f1362ecf |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.