Triple

T20650531
Position Surface form Disambiguated ID Type / Status
Subject I Am the Pretty Thing That Lives in the House E507477 entity
Predicate cinematographyBy P1953 FINISHED
Object Julie Kirkwood 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: Julie Kirkwood | Statement: [I Am the Pretty Thing That Lives in the House, cinematographyBy, Julie Kirkwood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Kirkwood
Context triple: [I Am the Pretty Thing That Lives in the House, cinematographyBy, Julie Kirkwood]
  • A. Julie Kirkwood chosen
    Julie Kirkwood is a cinematographer known for her work on feature films such as the thriller "Destroyer."
  • B. Julie Richardson
    Julie Richardson is a film producer best known for her work on the acclaimed crime thriller "Collateral."
  • C. Julie Glenn
    Julie Glenn is an actress best known for her role in the French coming-of-age film "L'Effrontée."
  • D. Julie Hagerty
    Julie Hagerty is an American actress and former model best known for her comedic roles in films such as "Airplane!" and "What About Bob?".
  • E. Julie Eldridge
    Julie Eldridge is a character from the horror anthology film "Trilogy of Terror."
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af2133048190a6308074a3b3347e completed April 20, 2026, 10:56 p.m.
Created at: April 16, 2026, 11:43 a.m.