Triple

T22395963
Position Surface form Disambiguated ID Type / Status
Subject Daphne Diaz E553629 entity
Predicate portrayedBy P1507 FINISHED
Object Ariana Greenblatt 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: Ariana Greenblatt | Statement: [Daphne Diaz, portrayedBy, Ariana Greenblatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ariana Greenblatt
Context triple: [Daphne Diaz, portrayedBy, Ariana Greenblatt]
  • A. Ariana Greenblatt chosen
    Ariana Greenblatt is an American actress known for her roles in major films such as "Barbie" (2023) and "Avengers: Infinity War," as well as various television projects.
  • B. Dana Estrin
    Dana Estrin is known as the spouse of the late American television producer and screenwriter Zack Estrin.
  • C. Rebecca Jarvis
    Rebecca Jarvis is an American journalist and television correspondent best known for her business and financial reporting, including her work with ABC News and as host of the podcast "The Dropout."
  • D. Arielle Tepper Madover
    Arielle Tepper Madover is an American theatrical and film producer known for backing numerous high-profile Broadway productions and screen projects.
  • E. Megan Ganz
    Megan Ganz is an American television writer, producer, and director known for her work on acclaimed comedy series such as Community, Modern Family, and It's Always Sunny in Philadelphia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585e84b081908c95ed3e0d987ed8 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.