Triple

T10393113
Position Surface form Disambiguated ID Type / Status
Subject ABBA Gold: Greatest Hits E244938 entity
Predicate hasTrack P3284 FINISHED
Object Thank You for the Music E268981 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: Thank You for the Music | Statement: [ABBA Gold: Greatest Hits, hasTrack, 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 Gold: Greatest Hits, hasTrack, 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 a song featured on the jazz standard album "All of Me."
  • C. 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."
  • D. Thank You
    "Thank You" is a 1995 cover album by British band Duran Duran, featuring their interpretations of songs by artists such as Lou Reed, Led Zeppelin, and Public Enemy.
  • E. Thank You
    "Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9b6c750819087678bf81a3ef806 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f6fbc848190806d50bfad654b27 completed April 10, 2026, 6:57 a.m.
Created at: April 6, 2026, 12:06 p.m.