Triple

T13956745
Position Surface form Disambiguated ID Type / Status
Subject Roger Pratt E335683 entity
Predicate workedOn P3 FINISHED
Object Mona Lisa E607188 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: [Roger Pratt, workedOn, Mona Lisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mona Lisa
Context triple: [Roger Pratt, workedOn, 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 1950 pop song famously performed by Nat King Cole, known for its smooth vocal style and enduring popularity.
  • C. Mona Lisa chosen
    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.
  • D. 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."
  • E. Salvator Mundi
    Salvator Mundi is a Renaissance painting depicting Christ as the Savior of the World, widely attributed to Leonardo da Vinci and known as one of the most expensive artworks ever sold.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e7a34f08190aa0d88b66154f268 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1d27a0c8190b5d95ea86fc1a420 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.