Triple

T3563847
Position Surface form Disambiguated ID Type / Status
Subject I Wanna Thank Me E75397 entity
Predicate titleTrack P8087 FINISHED
Object I Wanna Thank Me (song) E75397 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 Wanna Thank Me (song) | Statement: [I Wanna Thank Me, titleTrack, I Wanna Thank Me (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: I Wanna Thank Me (song)
Context triple: [I Wanna Thank Me, titleTrack, I Wanna Thank Me (song)]
  • A. I Wanna Thank Me chosen
    "I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
  • B. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • C. Thank You
    "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
  • D. I Wish
    "I Wish" is a 1976 funk and soul song by Stevie Wonder, celebrated for its infectious groove, nostalgic lyrics, and prominent use of clavinet.
  • E. I Wish
    "I Wish" is an R&B song by American singer R. Kelly, known for its nostalgic, reflective lyrics about childhood and lost friends.
  • 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_69ad85d512708190829c8b2d3a2ccfb8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc0a76c008190a2056b6d990776fe completed March 8, 2026, 6:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3bba91d08819081a433c9f06a2c2b completed March 13, 2026, 7:24 a.m.
Created at: March 8, 2026, 3:21 p.m.