Triple

T9397173
Position Surface form Disambiguated ID Type / Status
Subject The Lighthouse E226171 entity
Predicate writtenBy P806 FINISHED
Object Robert Eggers E796880 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: Robert Eggers | Statement: [The Lighthouse, writtenBy, Robert Eggers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Eggers
Context triple: [The Lighthouse, writtenBy, Robert Eggers]
  • A. Robert Eggers chosen
    Robert Eggers is an American filmmaker known for his meticulously researched, atmospheric horror and period films such as "The Witch" and "The Lighthouse."
  • B. David Michôd
    David Michôd is an Australian film director and screenwriter best known for his crime drama "Animal Kingdom" and dystopian thriller "The Rover."
  • C. Ari Aster
    Ari Aster is an American filmmaker and screenwriter best known for his unsettling, character-driven horror films such as "Hereditary" and "Midsommar."
  • D. James Gray
    James Gray is an American filmmaker known for his character-driven dramas and visually rich, classical storytelling in films such as "The Lost City of Z," "Ad Astra," and "We Own the Night."
  • E. Jed Kurzel
    Jed Kurzel is an Australian film composer and musician known for his atmospheric scores for films such as "Slow West," "Snowtown," and "Macbeth."
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107949fe4819089f68a2c368af82f completed April 4, 2026, 12:44 p.m.
Created at: March 30, 2026, 7:46 p.m.