Triple

T22764032
Position Surface form Disambiguated ID Type / Status
Subject Sing film series E563072 entity
Predicate hasPart P35 FINISHED
Object Sing (2016 film) 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: Sing (2016 film) | Statement: [Sing film series, hasPart, Sing (2016 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sing (2016 film)
Context triple: [Sing film series, hasPart, Sing (2016 film)]
  • A. Sing (2016 film) chosen
    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.
  • B. Sing 2
    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.
  • C. Songsong
    Songsong is the main village and administrative center of the island municipality of Rota in the Northern Mariana Islands.
  • 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 (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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7f56848190b5e90f9916a5b349 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.