Triple
T22352172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mamie DeSantis |
E552559
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Mamie |
—
|
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: Mamie | Statement: [Mamie DeSantis, givenName, Mamie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mamie Context triple: [Mamie DeSantis, givenName, Mamie]
-
A.
Mamie
chosen
Mamie is a traditional English feminine given name commonly used as a pet form of names like Mary.
-
B.
Mamie Elizabeth Carthan
Mamie Elizabeth Carthan, later known as Mamie Till-Mobley, was an American educator and civil rights activist best known as the mother of Emmett Till, whose brutal 1955 lynching galvanized the modern Civil Rights Movement.
-
C.
Mamie Rose
Mamie Rose is the titular character of the novel "My Mamie Rose," around whom the story’s central themes and events revolve.
-
D.
Ettie
Ettie is the official chicken-inspired mascot created for the 2019 FIFA Women’s World Cup in France.
-
E.
Bessie Wallis Warfield
Bessie Wallis Warfield, better known as Wallis Simpson, was the American socialite whose relationship with King Edward VIII led to his abdication of the British throne in 1936.
- 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.