Triple

T15063964
Position Surface form Disambiguated ID Type / Status
Subject The Babysitter E379707 entity
Predicate starring P1507 FINISHED
Object Bella Thorne E958188 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: Bella Thorne | Statement: [The Babysitter, starring, Bella Thorne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Thorne
Context triple: [The Babysitter, starring, Bella Thorne]
  • A. Bella Thorne chosen
    Bella Thorne is an American actress, singer, and former Disney Channel star best known for her role on the series "Shake It Up" and her subsequent work in film, television, and music.
  • B. Bella Thornton
    Bella Thornton is the daughter of American actor, filmmaker, and musician Billy Bob Thornton.
  • C. Madelaine Petsch
    Madelaine Petsch is an American actress best known for playing Cheryl Blossom on the television series "Riverdale."
  • D. Alexa Demie
    Alexa Demie is an American actress and singer best known for her role as Maddy Perez in the HBO teen drama series "Euphoria."
  • E. Chloë Grace Moretz
    Chloë Grace Moretz is an American actress known for her versatile performances in films such as "Kick-Ass," "Let Me In," and "If I Stay."
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69feae0fd7dc8190a10c8eb7542c3088 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:02 a.m.