Triple
T9344336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Brown |
E224845
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Paul Eugene Brown |
E224845
|
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: Paul Eugene Brown | Statement: [Paul Brown, fullName, Paul Eugene Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Eugene Brown Context triple: [Paul Brown, fullName, Paul Eugene Brown]
-
A.
Donald Brown
Donald Brown is a fictional character from the novel and film "National Velvet," known as one of Velvet Brown’s brothers in the Brown family.
-
B.
Michael Henry Brown
Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
-
C.
Paul Brown
chosen
Paul Brown was a pioneering American football coach and executive widely regarded as one of the most innovative and influential figures in the history of the sport.
-
D.
Paul Brown
Paul Brown is a Grammy-winning American smooth jazz producer and guitarist known for his work with numerous contemporary jazz and R&B artists.
-
E.
Rob Brown
Rob Brown is an American actor best known for his film debut in "Finding Forrester" and his role as a high school basketball player in "Coach Carter."
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4f0ce7b881908714ab526d94fa1d |
completed | April 1, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3c197208190bde7850de266fdf0 |
completed | April 4, 2026, 11:19 a.m. |
Created at: March 30, 2026, 7:40 p.m.