Triple

T17466968
Position Surface form Disambiguated ID Type / Status
Subject Miguel Ángel E425300 entity
Predicate hasOrthographicVariant P457 FINISHED
Object Miguel Angel NE NERFINISHED

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: Miguel Angel | Statement: [Miguel Ángel, hasOrthographicVariant, Miguel Angel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miguel Angel
Context triple: [Miguel Ángel, hasOrthographicVariant, Miguel Angel]
  • A. Miguel Ángel chosen
    Miguel Ángel is a Spanish businessman best known as the CEO and majority shareholder of Atlético Madrid football club.
  • B. 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.
  • C. Michelangelo
    Michelangelo is the fun-loving, pizza-obsessed, nunchuck-wielding Ninja Turtle known for his goofy humor and carefree attitude.
  • D. Michelangelo dei Conti
    Michelangelo dei Conti, better known as Pope Innocent XIII, was an 18th-century Italian pope who led the Catholic Church from 1721 to 1724.
  • E. Virgilio Vallot
    Virgilio Vallot was an Italian architect known for his work on major public infrastructure projects, including the design of Venice’s Venezia Santa Lucia railway station.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451a8f4908190a67a3a82a1c8f011 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:47 a.m.