Triple
T21490045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Side by Side |
E530212
|
entity |
| Predicate | performer |
P1363
|
FINISHED |
| Object | Lawrence Brown |
—
|
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: Lawrence Brown | Statement: [Side by Side, performer, Lawrence Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Brown Context triple: [Side by Side, performer, Lawrence Brown]
-
A.
Lawrence Brown
chosen
Lawrence Brown was an acclaimed American jazz trombonist best known for his long tenure with Duke Ellington’s orchestra and his lyrical, technically sophisticated playing.
-
B.
Lawrence Graham
Lawrence Graham is the father of American actress and author Lauren Graham.
-
C.
Lawrence Graham
Lawrence "Larry" Graham is an American bassist, singer, and songwriter best known as a pioneer of the slap bass technique and as a member of Sly and the Family Stone.
-
D.
Lawrence Gray
Lawrence Gray was an American film actor active during the silent and early sound eras, known for his leading-man roles in 1920s and 1930s Hollywood comedies and musicals.
-
E.
J. Douglas Brown
J. Douglas Brown was an American economist and academic who played a key role in shaping U.S. Social Security policy during the New Deal era.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea39e73081908e8d14118f9d1e03 |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:22 p.m.