Triple

T18241553
Position Surface form Disambiguated ID Type / Status
Subject John Fetterman E436824 entity
Predicate spouse P13 FINISHED
Object Gisele Barreto Fetterman NE NERFINISHED

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: Gisele Barreto Fetterman | Statement: [John Fetterman, spouse, Gisele Barreto Fetterman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gisele Barreto Fetterman
Context triple: [John Fetterman, spouse, Gisele Barreto Fetterman]
  • A. Gisele Barreto Fetterman chosen
    Gisele Barreto Fetterman is a Brazilian-American activist and nonprofit leader known for her work on food insecurity and social justice in Pennsylvania.
  • B. Carmen Gabriela Baldwin
    Carmen Gabriela Baldwin is the daughter of actor Alec Baldwin and yoga instructor and media personality Hilaria Baldwin.
  • C. Shannon De Lima
    Shannon De Lima is a Venezuelan model and public figure known for her work in fashion and her high-profile relationship with singer Marc Anthony.
  • D. Alexandra Barreto
    Alexandra Barreto is an American actress known for her work in film and television, including roles in series like "Pepper Dennis" and "The Fosters."
  • E. Ana Lucia Cortez
    Ana Lucia Cortez is a tough, emotionally scarred former LAPD police officer who becomes a conflicted and polarizing survivor on the TV series "Lost."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7e387f481909d72574fb7d17923 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.