Triple

T10281219
Position Surface form Disambiguated ID Type / Status
Subject Letty Ortiz E241104 entity
Predicate portrayedBy P1507 FINISHED
Object Michelle Rodriguez E248787 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: Michelle Rodriguez | Statement: [Letty Ortiz, portrayedBy, Michelle Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Rodriguez
Context triple: [Letty Ortiz, portrayedBy, Michelle Rodriguez]
  • A. Michelle Rodriguez chosen
    Michelle Rodriguez is an American actress best known for her tough, action-oriented roles, particularly as Letty Ortiz in the Fast & Furious film franchise.
  • B. Eiza González
    Eiza González is a Mexican actress and singer known for her roles in films such as "Baby Driver," "Alita: Battle Angel," and "Welcome to Marwen," as well as the TV series "From Dusk Till Dawn: The Series."
  • C. Jordana Brewster
    Jordana Brewster is a Panamanian-American actress best known for her role as Mia Toretto in the Fast & Furious film franchise.
  • D. Angelica Bullock
    Angelica Bullock is the eccentric, status-conscious matriarch of the wealthy Bullock family in the classic screwball comedy film "My Man Godfrey."
  • E. Sanaa Lathan
    Sanaa Lathan is an American actress known for her work in film, television, and voice acting, including prominent roles in movies like "Love & Basketball" and "Brown Sugar."
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2a177b48190aab7d7857f5bba7b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d012ae481909633b1333dc88b63 completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:39 a.m.