Triple

T18875663
Position Surface form Disambiguated ID Type / Status
Subject The Wicker Man (2006 film) E461676 entity
Predicate starring P1507 FINISHED
Object Leelee Sobieski 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: Leelee Sobieski | Statement: [The Wicker Man (2006 film), starring, Leelee Sobieski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leelee Sobieski
Context triple: [The Wicker Man (2006 film), starring, Leelee Sobieski]
  • A. Leelee Sobieski chosen
    Leelee Sobieski is an American former actress known for her roles in late-1990s and early-2000s films such as "Eyes Wide Shut," "Never Been Kissed," and "Joan of Arc."
  • B. Khaela Maricich
    Khaela Maricich is an American singer-songwriter and performance artist best known as the lead member of the indie pop project The Blow.
  • C. 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.
  • D. Lauren Weedman
    Lauren Weedman is an American actress, comedian, and writer known for her sharp, character-driven comedy and appearances in film, television, and solo stage shows.
  • E. Sarah DiLeo
    Sarah DiLeo is a film and television producer best known for her work on the acclaimed documentary "A Band Called Death."
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3ce07788190a179705eb1b6c824 completed April 20, 2026, 6:12 a.m.
Created at: April 10, 2026, 11:57 a.m.