Triple
T13384665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Retta |
E319407
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Big Mouth |
E396042
|
NE FINISHED |
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: Big Mouth | Statement: [Retta, notableWork, Big Mouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Mouth Context triple: [Retta, notableWork, Big Mouth]
-
A.
Big Mouth
chosen
Big Mouth is an animated coming-of-age comedy series on Netflix that humorously and candidly explores the awkwardness of puberty and adolescence.
-
B.
The Big Mouth
The Big Mouth was the nickname of American comic actress and singer Martha Raye, famed for her loud, brassy personality and wide-mouthed comedic style.
-
C.
Bizaardvark
Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
-
D.
Tuca & Bertie
Tuca & Bertie is an animated comedy series created by Lisa Hanawalt that follows the surreal, slice-of-life adventures of two anthropomorphic bird best friends navigating adulthood.
-
E.
Sausage Party
Sausage Party is an adult animated comedy film known for its raunchy humor and satirical take on religion and consumerism, featuring anthropomorphic food characters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268cf04c8190a35fd48ce81c149e |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.