Triple

T410346
Position Surface form Disambiguated ID Type / Status
Subject Peng Chun Chang E9474 entity
Predicate collaboratedWith P435 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: [Peng Chun Chang, collaboratedWith, René Cassin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: René Cassin
Context triple: [Peng Chun Chang, collaboratedWith, 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. Alfred Sauvy
    Alfred Sauvy was a French demographer, sociologist, and economist best known for introducing the term "Third World" to describe countries not aligned with either the Western or Eastern blocs during the Cold War.
  • E. Jean-Paul Agon
    Jean-Paul Agon is a French business executive best known for serving as the longtime CEO and later chairman of global cosmetics giant L'Oréal.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ecd96fec8190948fe64928ab4d85 completed Feb. 28, 2026, 1:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4177a3ef88190bb331ab9034ead7d completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.