Triple

T5080562
Position Surface form Disambiguated ID Type / Status
Subject Daniel Boaventura E114499 entity
Predicate name P16 FINISHED
Object Daniel Boaventura E114499 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: Daniel Boaventura | Statement: [Daniel Boaventura, name, Daniel Boaventura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Boaventura
Context triple: [Daniel Boaventura, name, Daniel Boaventura]
  • A. Daniel Boaventura chosen
    Daniel Boaventura is a Brazilian singer and actor known for his smooth vocal style and performances of classic international songs.
  • B. Dante Beze
    Dante Beze is an alias of Mos Def, the acclaimed American rapper, actor, and activist also known as Yasiin Bey.
  • C. Bruno Campos
    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.
  • D. André Ventura
    André Ventura is a Portuguese politician and former sports commentator best known as the founder and leader of the right-wing populist party Chega.
  • E. Bruno Costa
    Bruno Costa is a businessman best known as the co-founder of the British coffeehouse chain Costa Coffee.
  • 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_69bd443dbf908190a9401e9c2dc7bd7d completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74f86c988190aa026073ed435a45 completed March 20, 2026, 4:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb1303bc4819084e0270a8ff97aec completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.