Triple

T9379135
Position Surface form Disambiguated ID Type / Status
Subject Larry Klein E225732 entity
Predicate collaboratedWith P435 FINISHED
Object Luciana Souza E795571 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: Luciana Souza | Statement: [Larry Klein, collaboratedWith, Luciana Souza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luciana Souza
Context triple: [Larry Klein, collaboratedWith, Luciana Souza]
  • A. Luciana Souza chosen
    Luciana Souza is a Brazilian jazz singer and composer acclaimed for her sophisticated vocal style and innovative blend of Brazilian music and contemporary jazz.
  • B. Sara Sampaio
    Sara Sampaio is a Portuguese fashion model best known for her work with Victoria’s Secret and appearances in major international fashion magazines and campaigns.
  • C. Erika de Souza
    Erika de Souza is a Brazilian professional basketball center best known for her successful WNBA career, including multiple All-Star selections and a championship with the Los Angeles Sparks.
  • D. Lais Ribeiro
    Lais Ribeiro is a Brazilian fashion model best known for her work with Victoria’s Secret and appearances in its high-profile runway shows.
  • E. Fernanda Gomes
    Fernanda Gomes is a Brazilian contemporary artist known for her minimalist, site-specific installations that often use everyday materials and subtle spatial interventions.
  • 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_69ca842d8ee88190aaaa639aa953185d completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd50bb49bc8190bdad23e120755ac7 completed April 1, 2026, 5:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1078d08488190bb55e838c6b9ad25 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:44 p.m.