Triple

T20029099
Position Surface form Disambiguated ID Type / Status
Subject Because of Winn-Dixie E495071 entity
Predicate leadActor P1507 FINISHED
Object AnnaSophia Robb 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: AnnaSophia Robb | Statement: [Because of Winn-Dixie, leadActor, AnnaSophia Robb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AnnaSophia Robb
Context triple: [Because of Winn-Dixie, leadActor, AnnaSophia Robb]
  • A. AnnaSophia Robb chosen
    AnnaSophia Robb is an American actress known for her roles in films such as "Soul Surfer" and "Bridge to Terabithia," as well as the TV series "The Carrie Diaries."
  • B. Thandie Newton
    Thandie Newton is a British actress acclaimed for her powerful performances in film and television, including roles in "Crash," "Westworld," and numerous other high-profile productions.
  • C. Connie Nielsen
    Connie Nielsen is a Danish actress best known for her roles in films such as "Gladiator" and "Wonder Woman."
  • D. Sienna Guillory
    Sienna Guillory is an English actress best known for her roles in genre films and television, including her portrayal of Jill Valentine in the Resident Evil film series.
  • E. Emily Watson
    Emily Watson is an acclaimed English actress known for her powerful performances in films such as "Breaking the Waves," "Hilary and Jackie," and "Punch-Drunk Love."
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662908df081909a6c8ccf0dd90fff completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.