Triple

T10544709
Position Surface form Disambiguated ID Type / Status
Subject Michelle Rodriguez E248787 entity
Predicate birthName P65 FINISHED
Object Mayte 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: Mayte Michelle Rodriguez | Statement: [Michelle Rodriguez, birthName, Mayte Michelle Rodriguez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mayte Michelle Rodriguez
Context triple: [Michelle Rodriguez, birthName, Mayte 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. Morena Baccarin
    Morena Baccarin is a Brazilian-American actress known for her roles in television series such as "Homeland," "Firefly," and "Gotham," as well as the "Deadpool" film franchise.
  • C. Emily Browning
    Emily Browning is an Australian actress known for her roles in films such as "A Series of Unfortunate Events," "Sucker Punch," and "Sleeping Beauty."
  • D. Karen Rodriguez
    Karen Rodriguez is an actress known for her role in the television series "Swarm."
  • E. Zoë Yadira Saldaña Nazario
    Zoë Yadira Saldaña Nazario is an American actress best known for her leading roles in major science fiction and fantasy franchises such as "Avatar," "Guardians of the Galaxy," and "Star Trek."
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d519128cac819086c93f3bab854ac2 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b23b2988190b536d5ecb76298ff completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:33 p.m.