Triple
T17865435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Chanslor |
E446685
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cat Ballou |
—
|
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: Cat Ballou | Statement: [Roy Chanslor, notableWork, Cat Ballou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cat Ballou Context triple: [Roy Chanslor, notableWork, Cat Ballou]
-
A.
Cat Ballou
chosen
Cat Ballou is a 1965 comedy Western film starring Jane Fonda and Lee Marvin, known for its humorous take on the genre and Marvin’s Oscar-winning dual role.
-
B.
Hooch
Hooch is the slobbery but lovable Dogue de Bordeaux who partners with Tom Hanks’s character in the 1989 buddy-cop comedy film "Turner & Hooch."
-
C.
Cat Ballou (1965 film)
Cat Ballou (1965 film) is a 1965 comedy Western starring Jane Fonda and Lee Marvin, known for its satirical take on the genre and Marvin’s Oscar-winning dual role.
-
D.
The Sugarland Express
The Sugarland Express is a 1974 American crime drama road film directed by Steven Spielberg and noted for its blend of suspense, dark humor, and social commentary.
-
E.
Lilies of the Field
Lilies of the Field is a 1963 American film drama, best known for Sidney Poitier’s Oscar-winning performance as a handyman who helps a group of nuns build a chapel in the Arizona desert.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49793a2588190bb341ac606d767fe |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 10, 2026, 10:17 a.m.