Triple

T14588828
Position Surface form Disambiguated ID Type / Status
Subject Bruno Campos E342389 entity
Predicate name P16 FINISHED
Object Bruno Campos E342389 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: Bruno Campos | Statement: [Bruno Campos, name, Bruno Campos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruno Campos
Context triple: [Bruno Campos, name, Bruno Campos]
  • A. Bruno Campos chosen
    Bruno Campos is a Brazilian-American actor best known for his television roles in series like "Jesse" and "Nip/Tuck" and for his work as a voice performer in animated films.
  • B. Bruno Costa
    Bruno Costa is a businessman best known as the co-founder of the British coffeehouse chain Costa Coffee.
  • C. Leandro Barbosa
    Leandro Barbosa is a Brazilian professional basketball player and NBA champion known for his speed and scoring ability, particularly during his tenure with the Phoenix Suns.
  • D. Emanoel Araújo
    Emanoel Araújo was a Brazilian artist, curator, and cultural leader renowned for his work in promoting Afro-Brazilian art and heritage.
  • E. Guilherme Leal
    Guilherme Leal is a Brazilian businessman, co-founder of the cosmetics company Natura, and a prominent environmental and social activist.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4237d88819097f3f9a40f5be152 completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf074410081909284345503eb3e9f completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:24 a.m.