Triple

T23140326
Position Surface form Disambiguated ID Type / Status
Subject The Words E577441 entity
Predicate hasCharacter P2308 FINISHED
Object Daniella NE NERFINISHED

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: Daniella | Statement: [The Words, hasCharacter, Daniella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniella
Context triple: [The Words, hasCharacter, Daniella]
  • A. Daniella Rodriguez
    Daniella Rodriguez is an American former Miss Texas USA and social media personality known for her marriage to MLB shortstop Carlos Correa.
  • B. Daniella Alonso
    Daniella Alonso is an American actress and former fashion model known for her roles in television series such as "Revolution," "Dynasty," and various film and TV projects.
  • C. Daniela
    Daniela is a feminine given name commonly used in many languages, often as the female form of Daniel.
  • D. Daniella Karagach
    Daniella Karagach is a professional Latin and ballroom dancer and choreographer best known for her work as a pro on the U.S. television show Dancing with the Stars.
  • E. Daniella Pineda
    Daniella Pineda is an American actress known for her roles in film and television, including major parts in genre projects like Jurassic World: Fallen Kingdom and the live-action Cowboy Bebop series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ec922b481908084eee6a95aef83 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.