Triple
T2897121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DJ |
E63967
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Dennis Wayne Johnson |
E10654
|
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: Dennis Wayne Johnson | Statement: [DJ, fullName, Dennis Wayne Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dennis Wayne Johnson Context triple: [DJ, fullName, Dennis Wayne Johnson]
-
A.
Darrell Johnson
Darrell Johnson was an American Major League Baseball manager and former catcher best known for leading the Boston Red Sox to the 1975 American League pennant.
-
B.
Dennis Johnson
chosen
Dennis Johnson was a Hall of Fame NBA guard renowned for his tenacious defense and clutch play, most notably as a key member of the Boston Celtics' 1980s championship teams.
-
C.
James Johnson
James Johnson was a participant in the War of 1812, remembered for his role in the Battle of the Thames.
-
D.
Joe Johnson
Joe Johnson is a music producer known for his work on the song "Hello Mary Lou."
-
E.
DeWayne Turrentine
DeWayne Turrentine is an American actor, producer, and former model who has appeared in film and television and is also known for his long-term marriage to actress Reagan Gomez-Preston.
- 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_69ab4c45822c8190830c5f2bb97bcfd0 |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe08e7b248190a6bb0f6999f99c23 |
completed | March 7, 2026, 8:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055fe13448190bf25832219fd5f0c |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 10:08 p.m.