Triple

T18945203
Position Surface form Disambiguated ID Type / Status
Subject Tarzan and the Lost City E463492 entity
Predicate hasEditor P1954 FINISHED
Object Sloane Klevin 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: Sloane Klevin | Statement: [Tarzan and the Lost City, hasEditor, Sloane Klevin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sloane Klevin
Context triple: [Tarzan and the Lost City, hasEditor, Sloane Klevin]
  • A. Sloane Klevin chosen
    Sloane Klevin is a film editor known for her work on feature films such as "Tarzan and the Lost City."
  • B. Sloane Murray
    Sloane Murray is a child voice actress best known for portraying the younger version of Dory in Pixar's animated film "Finding Dory."
  • C. Emily Kinney
    Emily Kinney is an American actress and singer best known for her role as Beth Greene on the television series "The Walking Dead."
  • D. Kelsey Rose Isaacs
    Kelsey Rose Isaacs is the daughter of American actress and former SAG-AFTRA president Gabrielle Carteris.
  • E. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53f6eb8819099b1268db8b14d66 completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.