Triple

T19069382
Position Surface form Disambiguated ID Type / Status
Subject The Great Adventures of Slick Rick E466753 entity
Predicate hasTrack P3284 FINISHED
Object Mona Lisa E942858 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: Mona Lisa | Statement: [The Great Adventures of Slick Rick, hasTrack, Mona Lisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mona Lisa
Context triple: [The Great Adventures of Slick Rick, hasTrack, Mona Lisa]
  • A. Mona Lisa
    The Mona Lisa is Leonardo da Vinci’s iconic Renaissance portrait, renowned worldwide for its enigmatic smile and artistic mastery.
  • B. Mona Lisa
    Mona Lisa is a 1986 British neo-noir crime drama film starring Bob Hoskins and Cathy Tyson, noted for its gritty portrayal of London’s criminal underworld.
  • C. Mona Lisa chosen
    "Mona Lisa" is a 1950 pop song famously performed by Nat King Cole, known for its smooth vocal style and enduring popularity.
  • D. La Lisa
    La Lisa is a municipality in the western part of Havana, Cuba, known primarily as a residential and industrial area.
  • E. You and the Mona Lisa
    "You and the Mona Lisa" is a folk-pop song by American singer-songwriter Shawn Colvin, known for its melodic storytelling and inclusion on her acclaimed 1990s album "A Few Small Repairs."
  • 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e19caa708190876a2cb06aa0c9cc completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05dd8c76208190a576180159cbac13 completed May 14, 2026, 2:34 p.m.
Created at: April 10, 2026, 12:03 p.m.