Triple
T2686948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cavalier Johnson |
E57505
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cavalier Johnson |
E57505
|
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: Cavalier Johnson | Statement: [Cavalier Johnson, name, Cavalier Johnson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cavalier Johnson Context triple: [Cavalier Johnson, name, Cavalier Johnson]
-
A.
Cavalier Johnson
chosen
Cavalier Johnson is an American politician who serves as the mayor of Milwaukee, Wisconsin.
-
B.
Reggie Johnson
Reggie Johnson is an American jazz double bassist known for his work in the hard bop and post-bop scenes from the 1960s onward.
-
C.
Joe Johnson
Joe Johnson is a music producer known for his work on the song "Hello Mary Lou."
-
D.
Rasual Butler
Rasual Butler was an American professional basketball player and sharpshooting wing who played over a decade in the NBA for multiple teams.
-
E.
Reggie Williams
Reggie Williams is a former American professional basketball player best known for his standout college career at Georgetown University and his lengthy NBA tenure, primarily with the Denver Nuggets.
- 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_69ab4a5028388190a36f3baf1588309e |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9f080108190ab662a3a064cb5a9 |
completed | March 7, 2026, 7:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbb6de488190a0fb87efc7297ccb |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:54 p.m.