Triple

T10126974
Position Surface form Disambiguated ID Type / Status
Subject Carice van Houten E226238 entity
Predicate appearedIn P795 FINISHED
Object Black Book E816425 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: Black Book | Statement: [Carice van Houten, appearedIn, Black Book]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Book
Context triple: [Carice van Houten, appearedIn, Black Book]
  • A. Black Book chosen
    Black Book is a 2006 Dutch World War II thriller film directed by Paul Verhoeven, acclaimed for its gripping espionage story and moral complexity.
  • B. Black Book
    Black Book is a jazz album by saxophonist Greg Osby, showcasing his innovative, modern approach to post-bop and improvisation.
  • C. Blow
    Blow is a 2001 crime drama film that chronicles the rise and fall of American cocaine smuggler George Jung within the 1970s–1980s drug trade.
  • D. Blow
    "Blow" is a disco-funk inspired song by Beyoncé, known for its sensual lyrics, retro production, and vibrant roller-disco themed visuals.
  • E. The Black Book
    The Black Book is a crime novel in Ian Rankin’s Inspector Rebus series, known for its dark Edinburgh setting and intricate, long-buried secrets.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2eef7388190b95ffd02814f2d1f completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc69a5c88190ab7b108e1aab20ba completed April 5, 2026, 8:56 p.m.
Created at: March 30, 2026, 9:05 p.m.