Triple
T22352186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamie DeSantis |
E552559
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mason DeSantis |
—
|
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: Mason DeSantis | Statement: [Mamie DeSantis, relative, Mason DeSantis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mason DeSantis Context triple: [Mamie DeSantis, relative, Mason DeSantis]
-
A.
Mason DeSantis
chosen
Mason DeSantis is the son of Florida First Lady Casey DeSantis and Florida Governor Ron DeSantis.
-
B.
Madison DeSantis
Madison DeSantis is the daughter of Florida Governor Ron DeSantis and First Lady Casey DeSantis.
-
C.
Casey DeSantis
Casey DeSantis is an American television host and political figure who serves as the First Lady of Florida and is married to Governor Ron DeSantis.
-
D.
Wren DeSantis
Wren DeSantis is the teenage protagonist of the young adult novel "Fun Size," navigating the challenges of adolescence, identity, and relationships.
-
E.
Stanley DeSantis
Stanley DeSantis was an American character actor and talent agent known for his supporting roles in film and television during the 1980s and 1990s.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579cbbe88190bf2f27d34fc8f30e |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:44 p.m.