Triple

T4679660
Position Surface form Disambiguated ID Type / Status
Subject Marcelo E103767 entity
Predicate hasNotableBearer P458 FINISHED
Object Marcelo Vieira E461803 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: Marcelo Vieira | Statement: [Marcelo, hasNotableBearer, Marcelo Vieira]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcelo Vieira
Context triple: [Marcelo, hasNotableBearer, Marcelo Vieira]
  • A. Marcelo Vieira chosen
    Marcelo Vieira is a Brazilian professional footballer best known as an attacking left-back for Real Madrid and the Brazil national team, widely regarded as one of the greatest full-backs of his generation.
  • B. Wanderlei Silva
    Wanderlei Silva is a Brazilian mixed martial artist famed for his aggressive striking style and legendary run in PRIDE Fighting Championships.
  • C. Fabricio Werdum
    Fabricio Werdum is a Brazilian mixed martial artist and former UFC heavyweight champion renowned for his elite Brazilian jiu-jitsu and victories over several top heavyweights.
  • D. Marcelo Gomes
    Marcelo Gomes is a renowned Brazilian ballet dancer celebrated for his long and distinguished career as a principal dancer with American Ballet Theatre.
  • E. Thiago Teixeira
    Thiago Teixeira is a technology entrepreneur best known as a co-founder of the data app development platform Streamlit.
  • 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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd636c105081908655ab384f539f38 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be105232e88190bb79bf52b58e1814 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:16 p.m.