Triple

T7441373
Position Surface form Disambiguated ID Type / Status
Subject Lauren Sánchez E171761 entity
Predicate name P16 FINISHED
Object Lauren Sánchez E171761 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: Lauren Sánchez | Statement: [Lauren Sánchez, name, Lauren Sánchez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lauren Sánchez
Context triple: [Lauren Sánchez, name, Lauren Sánchez]
  • A. Lauren Sánchez chosen
    Lauren Sánchez is an American media personality, former news anchor, and helicopter pilot who gained widespread attention for her relationship with Amazon founder Jeff Bezos.
  • B. Lauren Vélez
    Lauren Vélez is an American actress best known for her role as Lieutenant Maria LaGuerta on the television series "Dexter."
  • C. Nadine Velazquez
    Nadine Velazquez is an American actress and model best known for her roles in the sitcom "My Name Is Earl" and the film "Flight."
  • D. Rachel Salas
    Rachel Salas is a central character in the science-fiction film "In Time," portrayed as the wealthy and protective mother of Sylvia Weis.
  • E. Roselyn Sánchez
    Roselyn Sánchez is a Puerto Rican actress, singer, and model known for her roles in film and television, including the comedy "The Game Plan" and the series "Devious Maids."
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f36b9a3c81908abcc2a64d3e6061 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac7fdaec8190a014513b8b60977b completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:13 p.m.