Triple

T2995393
Position Surface form Disambiguated ID Type / Status
Subject Ballers E81052 entity
Predicate castMember P1668 FINISHED
Object Arielle Kebbel E207647 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: Arielle Kebbel | Statement: [Ballers, castMember, Arielle Kebbel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arielle Kebbel
Context triple: [Ballers, castMember, Arielle Kebbel]
  • A. Arielle Kebbel chosen
    Arielle Kebbel is an American actress and former model known for her roles in film and television series such as "The Vampire Diaries," "Gilmore Girls," and various romantic comedies and dramas.
  • B. Rosanna Hoult
    Rosanna Hoult is a British actress known for her work in film and television and as the sister of actor Nicholas Hoult.
  • C. Jemima Kirke
    Jemima Kirke is a British-American artist and actress best known for playing Jessa Johansson on the HBO series "Girls."
  • D. Annabelle Wallis
    Annabelle Wallis is an English actress known for her roles in television series like Peaky Blinders and films such as Annabelle and The Mummy.
  • E. Teresa Palmer
    Teresa Palmer is an Australian actress known for her roles in films such as "Warm Bodies," "Lights Out," and "Hacksaw Ridge."
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1de9d8f6c81909c216efbf2f720fc completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 2:59 p.m.