Triple

T6106786
Position Surface form Disambiguated ID Type / Status
Subject Hélio Gracie E136135 entity
Predicate givenName P17 FINISHED
Object Hélio
Hélio is a masculine given name of Portuguese origin, commonly used in Brazil and other Lusophone countries.
E568734 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: Hélio | Statement: [Hélio Gracie, givenName, Hélio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hélio
Context triple: [Hélio Gracie, givenName, Hélio]
  • A. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • B. Marto
    Marto is a writer best known for contributing to the song "Young, Wild & Free."
  • C. Marto
    Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
  • D. Zelos
    Zelos is a minor Greek deity personifying zeal, rivalry, and dedication, often associated with the retinue of the god Zeus.
  • E. Loren
    Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
  • 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: Hélio
Triple: [Hélio Gracie, givenName, Hélio]
Generated description
Hélio is a masculine given name of Portuguese origin, commonly used in Brazil and other Lusophone countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hélio
Target entity description: Hélio is a masculine given name of Portuguese origin, commonly used in Brazil and other Lusophone countries.
  • A. Tiago
    Tiago is a masculine given name commonly used in Portuguese-speaking countries, often considered a variant of the name James.
  • B. Marto
    Marto is a writer best known for contributing to the song "Young, Wild & Free."
  • C. Marto
    Marto is a Portuguese surname notably borne by Francisco Marto, one of the child visionaries of the Marian apparitions at Fátima.
  • D. Zelos
    Zelos is a minor Greek deity personifying zeal, rivalry, and dedication, often associated with the retinue of the god Zeus.
  • E. Loren
    Loren is a given name used for people of any gender, often as a variant or shortened form of names like Lorenzo or Lauren.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b806bd48190b6f020af3391adb8 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1255b27a88190b45b664a2ba41166 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c125ede4f88190989a5a40accd2745 completed March 23, 2026, 11:37 a.m.
NED2 Entity disambiguation (via description) batch_69c1268ffc7481909a9bd2be039dbf45 completed March 23, 2026, 11:40 a.m.
Created at: March 22, 2026, 4:13 p.m.