Triple

T3261692
Position Surface form Disambiguated ID Type / Status
Subject Ron Rivera E68424 entity
Predicate spouse P13 FINISHED
Object Stephanie Rivera E69950 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: Stephanie Rivera | Statement: [Ron Rivera, spouse, Stephanie Rivera]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephanie Rivera
Context triple: [Ron Rivera, spouse, Stephanie Rivera]
  • A. Stephanie Rivera chosen
    Stephanie Rivera is the wife of NFL head coach Ron Rivera and is known for her involvement in charitable and community initiatives connected to his teams.
  • B. Stephanie Lopez
    Stephanie Lopez is an American former soccer defender who starred for the University of Portland, helped the Pilots win a national championship, and went on to represent the United States women’s national team.
  • C. Natalie Martinez
    Natalie Martinez is an American actress known for her roles in films like "Death Race" and "End of Watch" as well as television series such as "Under the Dome" and "Kingdom."
  • D. Jossalyn Romo
    Jossalyn Romo is known as the sister of former Dallas Cowboys quarterback and NFL broadcaster Tony Romo.
  • E. Everly Carganilla
    Everly Carganilla is a young American child actress known for roles in film and television, including the Netflix series "The Chair."
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafa7fea08190b089b6174fd7cd32 completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35456814c8190a8e4d53935af539a completed March 13, 2026, 12:03 a.m.
Created at: March 8, 2026, 3:09 p.m.