Triple

T6051981
Position Surface form Disambiguated ID Type / Status
Subject Buster Moon E134815 entity
Predicate appearsIn P795 FINISHED
Object Sing 2 E134812 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: Sing 2 | Statement: [Buster Moon, appearsIn, Sing 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sing 2
Context triple: [Buster Moon, appearsIn, Sing 2]
  • A. Sing 2 chosen
    Sing 2 is an animated musical comedy film and sequel to Sing, following a group of animal performers as they attempt to stage an ambitious new show in a glamorous entertainment capital.
  • B. Sing (2016 film)
    Sing (2016 film) is an animated musical comedy about a koala-run singing competition that features an ensemble cast of anthropomorphic animals pursuing their dreams.
  • C. The Sing
    "The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
  • D. Sing It
    "Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
  • E. Singen
    Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
  • 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_69c00877b6d4819096b0e163728b73a3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056f802988190aafdb7cbb087c828 completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d077fe48190af9f896df9028800 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:09 p.m.