Triple
T22831583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosita |
E565814
|
entity |
| Predicate | supportsCharacter |
P16523
|
FINISHED |
| Object | Buster Moon |
—
|
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: Buster Moon | Statement: [Rosita, supportsCharacter, Buster Moon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buster Moon Context triple: [Rosita, supportsCharacter, Buster Moon]
-
A.
Buster Moon
chosen
Buster Moon is the optimistic koala theater owner and main protagonist of Illumination Entertainment’s animated film "Sing," known for his relentless determination to save his failing theater through a singing competition.
-
B.
Buster
Buster is the official mascot of the Jersey Shore BlueClaws minor league baseball team, entertaining fans at their games and events.
-
C.
Buster
Buster is a socially awkward, overprotected youngest son from the TV series "Arrested Development," known for his dependence on his mother and his eccentric behavior.
-
D.
Buster
Buster is the nickname of Vivian Burey Marshall, the first wife of U.S. Supreme Court Justice Thurgood Marshall.
-
E.
Buster
Buster is the energetic dachshund dog who becomes Andy Davis’s beloved pet in the Toy Story film series.
- 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_69e24585ab1c81909b2b5065d15805d5 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e2bcad8819091f237fd2273a20c |
completed | April 29, 2026, 3:42 a.m. |
Created at: April 17, 2026, 3:34 p.m.