Triple

T22547104
Position Surface form Disambiguated ID Type / Status
Subject Lieutenant Jean Rasczak E557456 entity
Predicate createdBy P806 FINISHED
Object Paul Verhoeven 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: Paul Verhoeven | Statement: [Lieutenant Jean Rasczak, createdBy, Paul Verhoeven]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Verhoeven
Context triple: [Lieutenant Jean Rasczak, createdBy, 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. Paul Verhoeven
    Paul Verhoeven is a Dutch politician who serves as the mayor of the municipality of Heeze-Leende in the Netherlands.
  • C. Bob Noorda
    Bob Noorda was a renowned Dutch graphic designer celebrated for his pioneering work in modernist corporate and transportation visual identity systems.
  • D. Rolf Weitz
    Rolf Weitz is an individual notable enough to be specifically cited as a bearer of the surname Weitz.
  • E. Fred Dekker
    Fred Dekker is an American filmmaker and screenwriter best known for cult horror and sci-fi films such as "Night of the Creeps," "The Monster Squad," and his collaborations with Shane Black.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f366f208190abbc6eb4780b2d48 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.