Triple

T5320510
Position Surface form Disambiguated ID Type / Status
Subject Want One E121660 entity
Predicate producer P490 FINISHED
Object Marius de Vries E296251 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: Marius de Vries | Statement: [Want One, producer, Marius de Vries]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marius de Vries
Context triple: [Want One, producer, Marius de Vries]
  • A. Marius de Vries chosen
    Marius de Vries is a British composer, producer, and arranger known for his innovative work on film soundtracks and collaborations with prominent pop and electronic artists.
  • B. Hendrik de Vries
    Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
  • C. Sidney van den Bergh
    Sidney van den Bergh is a Canadian astronomer renowned for his work on galaxies and galaxy clusters, including the discovery of several dwarf galaxies.
  • D. Marius Weyers
    Marius Weyers is a South African actor best known internationally for his role in the film "The Gods Must Be Crazy" and for his extensive work in South African cinema and television.
  • E. Jules Cronjager
    Jules Cronjager was an early 20th-century cinematographer and industry figure who helped shape the professional community of American cameramen.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8574c4b48190a0513ce59eedb564 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf332d0c608190be0c8e740fe216b7 completed March 22, 2026, 12:09 a.m.
Created at: March 20, 2026, 1:59 p.m.