Triple

T14359203
Position Surface form Disambiguated ID Type / Status
Subject Fly International Luxurious Art E356050 entity
Predicate hasPart P35 FINISHED
Object Michaelangelo E616972 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: Michaelangelo | Statement: [Fly International Luxurious Art, hasPart, Michaelangelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michaelangelo
Context triple: [Fly International Luxurious Art, hasPart, Michaelangelo]
  • A. Michelangelo
    Michelangelo was a Renaissance master renowned as a sculptor, painter, and architect, celebrated for works such as the Sistine Chapel ceiling and the design of major religious structures in Rome.
  • B. Michelangelo chosen
    Michelangelo is the fun-loving, pizza-obsessed, nunchuck-wielding Ninja Turtle known for his goofy humor and carefree attitude.
  • C. Miguel Ángel
    Miguel Ángel is a Spanish businessman best known as the CEO and majority shareholder of Atlético Madrid football club.
  • D. Raphael
    Raphael is a common masculine given name of Hebrew origin meaning "God has healed," borne by numerous notable figures including artists, scientists, and religious leaders.
  • E. Raphael
    Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f54bfb08190a27c0d12731acec2 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c48dd408190ac45ad4ca6f610c3 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.