Triple

T218398
Position Surface form Disambiguated ID Type / Status
Subject Cristiano Ronaldo E4158 entity
Predicate givenName P17 FINISHED
Object Cristiano E4158 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: Cristiano | Statement: [Cristiano Ronaldo, givenName, Cristiano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cristiano
Context triple: [Cristiano Ronaldo, givenName, Cristiano]
  • A. Cristiano Ronaldo chosen
    Cristiano Ronaldo is a Portuguese professional footballer widely regarded as one of the greatest players of all time, known for his prolific goal-scoring, athleticism, and success with clubs and country.
  • B. Roberto
    Roberto is a masculine given name commonly used in Romance-language countries, equivalent to the English name Robert.
  • C. David Beckham
    David Beckham is a former English footballer renowned worldwide for his precise crossing and free-kick ability, his success with club and country, and his status as a global sports icon.
  • D. Jorge
    Jorge is the birth name of Pope Francis, the head of the Roman Catholic Church and the first pope from the Americas.
  • E. Eric Cantona
    Eric Cantona is a charismatic former French footballer renowned for his influential role in Manchester United’s dominance in the early 1990s and his iconic, often controversial, presence on and off the pitch.
  • 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_69a2573508588190b522c2476d91acfe completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25c5199d8819096736c11077adec3 completed Feb. 28, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69a34766506c8190a4c661410e0d8b33 completed Feb. 28, 2026, 7:52 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.