Triple

T13541562
Position Surface form Disambiguated ID Type / Status
Subject Jan de Bont E323397 entity
Predicate familyName P18 FINISHED
Object de Bont E323397 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: de Bont | Statement: [Jan de Bont, familyName, de Bont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Bont
Context triple: [Jan de Bont, familyName, de Bont]
  • A. Jan de Bont chosen
    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.
  • B. Paul Verhoeven
    Paul Verhoeven is a Dutch filmmaker known for his provocative, violent, and satirical films such as RoboCop, Total Recall, and Starship Troopers.
  • C. Simon Vissering
    Simon Vissering was a 19th-century Dutch economist and legal scholar known for influencing early Japanese modernizers through his teachings at Leiden University.
  • D. Bob Noorda
    Bob Noorda was a renowned Dutch graphic designer celebrated for his pioneering work in modernist corporate and transportation visual identity systems.
  • 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 (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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafd8ba10819098faadcc6adf251e completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bae316081909e048ead31a9575a completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:45 p.m.