Triple

T3988712
Position Surface form Disambiguated ID Type / Status
Subject Starship Troopers E86935 entity
Predicate director P255 FINISHED
Object Paul Verhoeven E329582 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: Paul Verhoeven | Statement: [Starship Troopers, director, Paul Verhoeven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Verhoeven
Context triple: [Starship Troopers, director, Paul Verhoeven]
  • A. Paul Verhoeven chosen
    Paul Verhoeven is a Dutch filmmaker known for his provocative, violent, and satirical films such as RoboCop, Total Recall, and Starship Troopers.
  • B. Jan de Bont
    Jan de Bont is a Dutch cinematographer and film director best known for shooting visually dynamic action films and directing hits like Speed and Twister.
  • C. David Friedkin
    David Friedkin was an American screenwriter, director, and producer known for his work in mid-20th-century film and television.
  • D. William Friedkin
    William Friedkin was an influential American filmmaker best known for directing the landmark 1970s films "The French Connection" and "The Exorcist," which helped define the gritty, auteur-driven era of New Hollywood cinema.
  • E. Luc Besson
    Luc Besson is a French film director, screenwriter, and producer known for visually stylish, action-driven movies such as "Léon: The Professional," "The Fifth Element," and "Lucy."
  • 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa007344819099515fda367f7016 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5402f72e8819097ce951aac465dc8 completed March 14, 2026, 11:02 a.m.
Created at: March 9, 2026, 3:33 p.m.