Triple
T20336906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wrigley Pictures |
E495636
|
entity |
| Predicate | produced |
P490
|
FINISHED |
| Object | Fool's Paradise |
—
|
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: Fool's Paradise | Statement: [Wrigley Pictures, produced, Fool's Paradise]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fool's Paradise Context triple: [Wrigley Pictures, produced, Fool's Paradise]
-
A.
Fool's Paradise
Fool's Paradise is a 2023 satirical comedy film that marks Charlie Day's feature directorial debut, following a mute man who becomes an accidental Hollywood star.
-
B.
Fool's Paradise
chosen
Fool's Paradise is a film produced by Wrigley Pictures.
-
C.
Fool's Paradise
"Fool's Paradise" is a song featured on the album *Night Beat* by Sam Cooke.
-
D.
Fool's Errand
Fool's Errand is a novel by American author Louis Bayard, known for its blend of literary style and suspenseful, character-driven storytelling.
-
E.
The Paradise
The Paradise is a British period drama television series set in a 19th-century department store, focusing on the lives, romances, and ambitions of its staff and customers.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677ed75e081909bfc534033ac1c59 |
completed | April 20, 2026, 7:01 p.m. |
Created at: April 16, 2026, 11:23 a.m.