Triple
T21413536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Listen, Darling |
E528238
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Elaine Ryan |
—
|
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: Elaine Ryan | Statement: [Listen, Darling, screenwriter, Elaine Ryan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elaine Ryan Context triple: [Listen, Darling, screenwriter, Elaine Ryan]
-
A.
Elaine Ryan
chosen
Elaine Ryan was a screenwriter best known for her work on classic Hollywood films such as "Babes on Broadway."
-
B.
Christine Collins
Christine Collins was a real-life Los Angeles mother whose 1928 fight against police corruption and search for her missing son became the basis for the film "Changeling."
-
C.
Monica Gallagher
Monica Gallagher is a troubled, neglectful mother character from the TV series "Shameless," known for her instability and strained relationship with her children, including Fiona.
-
D.
Dara Calleary
Dara Calleary is an Irish Fianna Fáil politician who has served as a Teachta Dála and held various ministerial roles in the Irish government.
-
E.
Paula Kent Meehan
Paula Kent Meehan was an American entrepreneur and philanthropist best known as the co-founder of the professional haircare company Redken.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b201ce1481908392c77e5ca40f5f |
completed | April 22, 2026, 11:33 a.m. |
Created at: April 16, 2026, 5:44 p.m.