Triple
T9746719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Seaton |
E236328
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Country Girl |
E141987
|
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: The Country Girl | Statement: [George Seaton, notableWork, The Country Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Country Girl Context triple: [George Seaton, notableWork, The Country Girl]
-
A.
The Country Girl
chosen
The Country Girl is a 1954 drama film in which Grace Kelly delivered an Oscar-winning performance as the troubled wife of an alcoholic actor.
-
B.
Country Girl
"Country Girl" is a song by Olivia Rodrigo from her album "Déjà Vu."
-
C.
A Little Country Girl
"A Little Country Girl" is a short story by Kate Chopin, included in her 1897 collection *A Night in Acadie*, that explores themes of youth, innocence, and social awakening in a Southern setting.
-
D.
The Girl from Frisco
The Girl from Frisco is a silent-era American film produced by the Vitagraph Company of America.
-
E.
My Blue Heaven
My Blue Heaven is a 1950 American musical comedy film best known for its lighthearted story and performances by stars like Jane Wyatt.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f677830819096d388b9c798ecd5 |
completed | April 1, 2026, 10:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1b004a6e88190a974f4a8973f91ef |
completed | April 5, 2026, 12:42 a.m. |
Created at: March 30, 2026, 8:23 p.m.