Triple
T10738048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Working Girl |
E253246
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Nora Dunn |
E365128
|
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: Nora Dunn | Statement: [Working Girl, castMember, Nora Dunn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nora Dunn Context triple: [Working Girl, castMember, Nora Dunn]
-
A.
Nora Dunn
chosen
Nora Dunn is an American actress and comedian best known as a cast member on "Saturday Night Live" in the late 1980s and for her numerous film and television roles.
-
B.
Nora Kaye
Nora Kaye was an acclaimed American ballerina and actress, renowned as one of the leading dramatic dancers of the mid-20th century.
-
C.
Nora Hayden
Nora Hayden was an American actress and model active in the mid-20th century, known for her roles in film and television.
-
D.
Nora Daley
Nora Daley is the daughter of the late Chicago First Lady Maggie Daley and former Chicago Mayor Richard M. Daley, known for her involvement in civic and cultural activities in the city.
-
E.
Laura Davenport
Laura Davenport is the daughter of English actor Nigel Davenport.
- 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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d710410a04819090036597ac0d271c |
completed | April 9, 2026, 2:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e343ffc428819085599f251b7553e5 |
completed | April 18, 2026, 8:42 a.m. |
Created at: April 8, 2026, 9:14 p.m.