Triple

T10325772
Position Surface form Disambiguated ID Type / Status
Subject Girlboss E242756 entity
Predicate protagonistPortrayedBy P9616 FINISHED
Object Britt Robertson E529145 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: Britt Robertson | Statement: [Girlboss, protagonistPortrayedBy, Britt Robertson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Britt Robertson
Context triple: [Girlboss, protagonistPortrayedBy, Britt Robertson]
  • A. Britt Robertson chosen
    Britt Robertson is an American actress known for her leading roles in films like "The Longest Ride" and television series such as "Life Unexpected" and "Girlboss."
  • B. Zoey Deutch
    Zoey Deutch is an American actress known for her roles in films such as "Before I Fall," "Set It Up," and "Zombieland: Double Tap."
  • C. Dakota O'Donnell
    Dakota O'Donnell is one of the adopted children of American comedian, actress, and television personality Rosie O'Donnell.
  • D. Jessica Lucas
    Jessica Lucas is a Canadian actress known for her roles in film and television, including prominent appearances in projects like the monster movie "Cloverfield."
  • E. Dakota Fanning
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7cd76348190b93562112300acfc completed April 7, 2026, 10:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc02ddc481908ab0ea2d1da04dc3 completed April 10, 2026, 11:16 a.m.
Created at: April 6, 2026, 11:51 a.m.