Triple
T6527455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Rannells |
E151340
|
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: [Andrew Rannells, notableWork, Big Mouth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Big Mouth Context triple: [Andrew Rannells, 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.
Bizaardvark
Bizaardvark is a Disney Channel comedy series about two teen best friends who create funny music videos for their online channel.
-
C.
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.
-
D.
Uncle Dynamite
Uncle Dynamite is a comic novel by P. G. Wodehouse featuring the mischievous aristocrat Uncle Fred in one of his most celebrated escapades.
-
E.
Wet Hot American Summer
Wet Hot American Summer is a cult-classic satirical comedy film that parodies 1980s summer camp movies with an ensemble cast of comedians.
- 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_69c687f522748190b3058405553cdabd |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ada8a0e48190947616f3a09a2cba |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d52a642c8190a50988f3faf61d39 |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:45 p.m.