Triple

T6904579
Position Surface form Disambiguated ID Type / Status
Subject Prix René Cassin E159777 entity
Predicate namedAfter P63 FINISHED
Object René Cassin E4197 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: René Cassin | Statement: [Prix René Cassin, namedAfter, René Cassin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René Cassin
Context triple: [Prix René Cassin, namedAfter, René Cassin]
  • A. René Cassin chosen
    René Cassin was a French jurist, Nobel Peace Prize laureate, and key architect of modern human rights law.
  • B. John Humphrey
    John Humphrey was a Canadian legal scholar and human rights advocate best known as the principal drafter of the Universal Declaration of Human Rights.
  • C. Toomas Asser
    Toomas Asser is an Estonian neurosurgeon and academic who serves as the rector of the University of Tartu.
  • D. Max van der Stoel
    Max van der Stoel was a Dutch diplomat and politician renowned for his work in human rights and conflict prevention, notably as the first OSCE High Commissioner on National Minorities.
  • E. Lucien Goldmann
    Lucien Goldmann was a Romanian-born French Marxist philosopher and sociologist of culture known for his work on genetic structuralism and the relationship between literature, ideology, and social class.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748fc81948190aa4ba339e5a9ec6d completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.