Triple

T15225644
Position Surface form Disambiguated ID Type / Status
Subject Sweet Sixteen E363870 entity
Predicate follows P134 FINISHED
Object Thank You E363869 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 | Statement: [Sweet Sixteen, follows, Thank You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thank You
Context triple: [Sweet Sixteen, follows, Thank You]
  • A. 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.
  • B. Thank You
    "Thank You" is a song featured on the jazz standard album "All of Me."
  • C. Thank You chosen
    "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. 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."
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0078bb32881909927561c6c072546 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd35ae348190beb1b113bfc66ab3 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.