Triple

T6980161
Position Surface form Disambiguated ID Type / Status
Subject Francesco Totti E161821 entity
Predicate familyName P18 FINISHED
Object Totti E161821 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: Totti | Statement: [Francesco Totti, familyName, Totti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totti
Context triple: [Francesco Totti, familyName, Totti]
  • A. Francesco Totti chosen
    Francesco Totti is a legendary Italian footballer, best known as AS Roma’s iconic one-club captain and one of Serie A’s greatest attacking players.
  • B. De Rossi
    De Rossi is an Italian surname commonly associated with several notable figures in fields such as sports, arts, and academia.
  • C. Gianni Rivera
    Gianni Rivera is an iconic Italian attacking midfielder, best known for his elegance, vision, and decisive performances for AC Milan and Italy during the 1960s and 1970s.
  • D. Luca Toni
    Luca Toni is a retired Italian striker renowned for his prolific goal-scoring, including winning the 2006 World Cup with Italy and the European Golden Shoe.
  • E. Renato Di Rossi
    Renato Di Rossi is a central romantic character in the musical "Do I Hear a Waltz?", serving as the charming Italian love interest of the American protagonist.
  • 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_69c68855dc0481909b4c7e9e9ed273db completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db6c1efc8190ab1575ae2ce726db completed March 27, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a0e34288190ad2decbc18190c6b completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:31 p.m.