Triple

T6853173
Position Surface form Disambiguated ID Type / Status
Subject Renée Estevez E158071 entity
Predicate birthName P65 FINISHED
Object Renée Pilar Estevez E158071 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: Renée Pilar Estevez | Statement: [Renée Estevez, birthName, Renée Pilar Estevez]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renée Pilar Estevez
Context triple: [Renée Estevez, birthName, Renée Pilar Estevez]
  • A. Renée Estevez chosen
    Renée Estevez is an American actress and writer known for her roles in films like "Heathers" and appearances on the television series "The West Wing."
  • B. María Elena Holly
    María Elena Holly is the widow of rock and roll pioneer Buddy Holly, known for preserving and promoting his musical legacy.
  • C. Karen Mendez
    Karen Mendez is known as the wife of former CIA technical operations officer and author Tony Mendez, whose life inspired the film "Argo."
  • D. Emma Castro
    Emma Castro is a member of the Castro family of Cuba, known primarily as a sibling within the prominent Castro lineage that includes figures such as Juanita Castro.
  • E. Scarlett Estevez
    Scarlett Estevez is an American child actress best known for her roles in films like the "Daddy’s Home" series and the TV show "Lucifer."
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84fffbc8190943ca7f3f03937e9 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748b977948190b60a85b93d61794a completed March 28, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:20 p.m.