Triple

T22094120
Position Surface form Disambiguated ID Type / Status
Subject ABBA: The Movie E545979 entity
Predicate featuresSong P2152 FINISHED
Object Thank You for the Music — 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: Thank You for the Music | Statement: [ABBA: The Movie, featuresSong, Thank You for the Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thank You for the Music
Context triple: [ABBA: The Movie, featuresSong, Thank You for the Music]
  • A. Thank You for the Music chosen
    "Thank You for the Music" is a popular ABBA song, later featured prominently in the musical and film "Mamma Mia!" where it is performed by the character Harry Bright among others.
  • B. Thank You
    "Thank You" is Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
  • C. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • D. Thank You
    "Thank You" is a song whose vocal sample is prominently used in the track "Stan" by Eminem.
  • E. Thank You
    "Thank You" is a melodic, organ-driven love ballad by Led Zeppelin, featured on their 1969 album Led Zeppelin II and noted for its heartfelt lyrics and distinctive arrangement.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e766388190aad1039fe0849771 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.