Triple

T15790056
Position Surface form Disambiguated ID Type / Status
Subject I Thank You E382840 entity
Predicate hasCoverVersion P11142 FINISHED
Object I Thank You (Tower of Power version) E382840 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: I Thank You (Tower of Power version) | Statement: [I Thank You, hasCoverVersion, I Thank You (Tower of Power version)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Thank You (Tower of Power version)
Context triple: [I Thank You, hasCoverVersion, I Thank You (Tower of Power version)]
  • A. I Thank You chosen
    "I Thank You" is a classic 1968 soul song by American duo Sam & Dave, celebrated for its energetic vocals and enduring influence on R&B music.
  • B. Thank You for the Music
    "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.
  • C. Thank You Lord
    "Thank You Lord" is a Christian worship song featured as a track on the gospel album *Faith*.
  • D. Thank You a Lot
    "Thank You a Lot" is an independent drama film centered on a struggling music manager in Austin, Texas, known for its intimate portrayal of family, ambition, and the local music scene.
  • E. Thank You So Much
    "Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
  • 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_69d86da16e188190b89af699f1ed0bfe completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e054048ff48190ad107c890ef73166 completed April 16, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff998981088190b9ce9d99c0481e21 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:48 a.m.