Triple
T22474415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alain Chabat |
E555589
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object | RRRrrrr!!! |
—
|
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: RRRrrrr!!! | Statement: [Alain Chabat, actedIn, RRRrrrr!!!]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RRRrrrr!!! Context triple: [Alain Chabat, actedIn, RRRrrrr!!!]
-
A.
RRRrrrr!!!
chosen
RRRrrrr!!! is a 2004 French prehistoric comedy film directed by and starring Alain Chabat, known for its absurd humor and parody of caveman life.
-
B.
Lrrr
Lrrr is the blustery, warlike ruler of the planet Omicron Persei 8 from the animated television series Futurama.
-
C.
RRL
RRL is a Ralph Lauren sub-brand inspired by vintage Americana and rugged workwear, offering heritage-style clothing and accessories with a focus on craftsmanship and authenticity.
-
D.
RRE
RRE was a British government research organization focused on radar and related electronic technologies, playing a key role in post-war defense and communications development.
-
E.
Rwookrrorro
Rwookrrorro is a major Wookiee city built high among the wroshyr trees on the forested planet Kashyyyk in the Star Wars universe.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.