Triple
T11298303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cazzie Russell |
E267510
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cazzie |
E267510
|
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: Cazzie | Statement: [Cazzie Russell, givenName, Cazzie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cazzie Context triple: [Cazzie Russell, givenName, Cazzie]
-
A.
Cazzie David
Cazzie David is an American writer and actress best known for co-creating and starring in the web series "Eighty-Sixed" and for her collection of essays "No One Asked for This."
-
B.
Cazzie Russell
chosen
Cazzie Russell is a former American basketball star best known for his standout collegiate career at the University of Michigan in the 1960s and subsequent NBA career, including winning a championship with the New York Knicks.
-
C.
Cavalier Johnson
Cavalier Johnson is an American politician who serves as the mayor of Milwaukee, Wisconsin.
-
D.
Reggie
Reggie is a supporting character in the period comedy-drama series "The Marvelous Mrs. Maisel," appearing within its ensemble of figures surrounding the titular comedian’s world.
-
E.
Reggie
Reggie is a masculine given name commonly used as a short form of Reginald.
- 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_69d6aac993a08190a6f36445ebaf9a43 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9a3616c8190a8fd23ca67463806 |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a3e26e88190991127a5993a32a4 |
completed | April 19, 2026, 5 p.m. |
Created at: April 8, 2026, 9:32 p.m.