Triple
T18592948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madge Bishop |
E454414
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Madge |
—
|
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: Madge | Statement: [Madge Bishop, givenName, Madge]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Madge Context triple: [Madge Bishop, givenName, Madge]
-
A.
Madge
chosen
Madge is a feminine given name, often used as a diminutive of Margaret.
-
B.
Madge Evans
Madge Evans was an American stage and film actress of the early 20th century, known for her work in both silent and sound films.
-
C.
Madge Dorita Walters
Madge Dorita Walters, better known as Madge Sinclair, was a Jamaican-born actress acclaimed for her roles in film and television, including "Roots," "Coming to America," and "Trapper John, M.D."
-
D.
Madge Sinclair
Madge Sinclair was a Jamaican-born actress best known for her commanding supporting roles in film and television, including notable performances in works like "Roots" and "The Lion King."
-
E.
Madge Blake
Madge Blake was an American character actress best known for her warm, comedic supporting roles in mid-20th-century film and television, including memorable appearances on shows like Batman and The Real McCoys.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b7ce3881908302ee27a2cf80d6 |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.