Triple
T6559622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Katherine McMath |
E152543
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Kitty Foyle |
E57916
|
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: Kitty Foyle | Statement: [Virginia Katherine McMath, notableWork, Kitty Foyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitty Foyle Context triple: [Virginia Katherine McMath, notableWork, Kitty Foyle]
-
A.
Kitty Foyle
chosen
Kitty Foyle is a 1940 romantic drama film best known for Ginger Rogers’ Oscar-winning performance as a working-class woman navigating love and social class.
-
B.
Sadie Miller
Sadie Miller is a British actress and writer, best known for continuing her mother Elisabeth Sladen’s legacy by voicing Sarah Jane Smith in Doctor Who audio dramas.
-
C.
Mrs. Brill
Mrs. Brill is the Banks family's cook and housekeeper in the "Mary Poppins" stories.
-
D.
Hildy
Hildy is a brash, fast-talking New York City taxi driver and one of the central comic female leads in the musical "On the Town."
-
E.
La Doyenne
La Doyenne is the traditional nickname of Liège–Bastogne–Liège, one of cycling’s oldest and most prestigious one-day Classics.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae22442081909bd6e2ba0091c56b |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb8bae88819089cff70fa1101a39 |
completed | March 27, 2026, 6:25 p.m. |
Created at: March 27, 2026, 1:52 p.m.