Triple

T17209819
Position Surface form Disambiguated ID Type / Status
Subject Danny Bensi E417696 entity
Predicate collaboratesWith P37 FINISHED
Object Saunder Jurriaans 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: Saunder Jurriaans | Statement: [Danny Bensi, collaboratesWith, Saunder Jurriaans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saunder Jurriaans
Context triple: [Danny Bensi, collaboratesWith, Saunder Jurriaans]
  • A. Saunder Jurriaans chosen
    Saunder Jurriaans is an American composer and musician best known for his atmospheric film and television scores, often created in collaboration with Danny Bensi.
  • B. Sander van Doorn
    Sander van Doorn is a Dutch DJ and electronic music producer known for his influential work in trance and progressive house.
  • C. Sjoerd Soeters
    Sjoerd Soeters is a Dutch architect known for his postmodern, human-scaled urban designs and influential waterfront redevelopment projects in the Netherlands.
  • D. Maarten van der Weijden
    Maarten van der Weijden is a Dutch long-distance and open-water swimmer, Olympic gold medalist, and leukemia survivor known for his charity marathon swims.
  • E. Christian Huitema
    Christian Huitema is a French computer scientist and Internet pioneer known for his influential work on networking protocols and IPv6 transition technologies.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc4792081909443df7937768ede completed April 19, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:38 a.m.