Triple

T16391607
Position Surface form Disambiguated ID Type / Status
Subject Fabricio Werdum E398065 entity
Predicate givenName P17 FINISHED
Object Fabrício
Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
E1213632 NE FINISHED

How this triple was built (4 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: Fabrício | Statement: [Fabricio Werdum, givenName, Fabrício]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fabrício
Context triple: [Fabricio Werdum, givenName, Fabrício]
  • A. Rogério
    Rogério is a Brazilian former professional footballer best known as a legendary São Paulo FC goalkeeper and prolific goal-scorer, later becoming a football manager.
  • B. Edvaldo
    Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
  • C. Emanoel Araújo
    Emanoel Araújo was a Brazilian artist, curator, and cultural leader renowned for his work in promoting Afro-Brazilian art and heritage.
  • D. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • E. Salvio Pacheco
    Salvio Pacheco was a 19th-century Californio ranchero and landowner whose legacy includes the founding and namesake of the city of Pacheco, California.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fabrício
Triple: [Fabricio Werdum, givenName, Fabrício]
Generated description
Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fabrício
Target entity description: Fabrício is the given name of Fabrício Werdum, a Brazilian mixed martial artist and former UFC heavyweight champion.
  • A. Rogério
    Rogério is a Brazilian former professional footballer best known as a legendary São Paulo FC goalkeeper and prolific goal-scorer, later becoming a football manager.
  • B. Edvaldo
    Edvaldo is the given first name of the Brazilian footballer widely known by his nickname Vavá.
  • C. Emanoel Araújo
    Emanoel Araújo was a Brazilian artist, curator, and cultural leader renowned for his work in promoting Afro-Brazilian art and heritage.
  • D. Sérgio
    Sérgio is a Portuguese given name commonly used in Brazil and other Lusophone countries.
  • E. Salvio Pacheco
    Salvio Pacheco was a 19th-century Californio ranchero and landowner whose legacy includes the founding and namesake of the city of Pacheco, California.
  • F. None of above. chosen

Provenance (5 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e326436ce881909f0f3899b8d931aa completed April 18, 2026, 6:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004579d9a88190b353952c5c301e9f completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00472cdc2881908211045515cd21ee completed May 10, 2026, 8:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0047b4b6688190afef52b39788ceae completed May 10, 2026, 8:54 a.m.
Created at: April 10, 2026, 5:08 a.m.