Triple
T20620877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Funny Farm |
E506693
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Jay Cronley |
—
|
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: Jay Cronley | Statement: [Funny Farm, basedOnAuthor, Jay Cronley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Cronley Context triple: [Funny Farm, basedOnAuthor, Jay Cronley]
-
A.
Jay Cronley
chosen
Jay Cronley was an American novelist and newspaper columnist known for his humorous crime and caper stories, several of which were adapted into films.
-
B.
Jon Croker
Jon Croker is a British screenwriter best known for his work on horror and genre films, including contributions to the Hammer Films revival.
-
C.
Jon Caliri
Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
-
D.
Mark Cronin
Mark Cronin is an American television producer and creator best known for developing and producing numerous popular reality TV series.
-
E.
Eric Crouch
Eric Crouch is a former American college quarterback best known for his dynamic dual-threat play at the University of Nebraska, where he became one of the nation’s top offensive stars in the early 2000s.
- 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_69e0b4bc90988190ac360aaf645efc1d |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe19ca481908c896bec49a025cd |
completed | April 20, 2026, 10:42 p.m. |
Created at: April 16, 2026, 11:42 a.m.