Triple
T20711282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen Heim |
E509048
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Funny Farm |
—
|
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: Funny Farm | Statement: [Allen Heim, notableWork, Funny Farm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Funny Farm Context triple: [Allen Heim, notableWork, Funny Farm]
-
A.
Funny Farm
chosen
Funny Farm is a 1988 American comedy film starring Chevy Chase as a sports writer who moves to a quirky small town in search of a quieter life, only to encounter a series of chaotic and humorous misadventures.
-
B.
Kids’ Farm
Kids’ Farm is a family-oriented exhibit at the National Zoo where children can interact with and learn about farm animals and agriculture.
-
C.
Barnyard
Barnyard is a 2006 animated comedy film featuring talking farm animals, produced by Nickelodeon Movies.
-
D.
Funny Cow
Funny Cow is a 2017 British drama film about a female stand-up comedian breaking into the male-dominated northern England club circuit, starring Maxine Peake in the title role.
-
E.
Farmen
Farmen is a popular Norwegian reality TV series in which contestants live and work on a historical-style farm, competing in various challenges while being gradually eliminated.
- 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_69e0b4c40ad88190b81f77695366d328 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1cdcaac8190b9ba82d489fb3bfc |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:15 p.m.