Triple

T3584937
Position Surface form Disambiguated ID Type / Status
Subject Jan Porcellis E75887 entity
Predicate name P16 FINISHED
Object Jan Porcellis E75887 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: Jan Porcellis | Statement: [Jan Porcellis, name, Jan Porcellis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan Porcellis
Context triple: [Jan Porcellis, name, Jan Porcellis]
  • A. Jan Porcellis chosen
    Jan Porcellis was a prominent Dutch Golden Age marine painter renowned for his atmospheric seascapes and innovative treatment of light and weather.
  • B. Anthony Veiller
    Anthony Veiller was an American screenwriter known for his work on notable mid-20th-century films, including several acclaimed Hollywood dramas and thrillers.
  • C. Sam De Grasse
    Sam De Grasse was a Canadian-born silent film actor best known for his villainous roles in early Hollywood adventure and drama films.
  • D. Johnny St. Cyr
    Johnny St. Cyr was an influential early jazz banjoist and guitarist best known for his work with Louis Armstrong’s Hot Five and Hot Seven bands.
  • E. Lisle Von Rhoman
    Lisle Von Rhoman is a mysterious, ageless socialite and sorceress in the dark comedy film "Death Becomes Her," known for selling a magical potion that grants eternal youth and immortality.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc135ee3481908ef8dc41af632710 completed March 8, 2026, 6:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69b402fcc5f481909c66319f75a8dc85 completed March 13, 2026, 12:28 p.m.
Created at: March 8, 2026, 3:22 p.m.