Triple

T20411290
Position Surface form Disambiguated ID Type / Status
Subject Len Blavatnik E500591 entity
Predicate familyName P18 FINISHED
Object Blavatnik E1207731 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: Blavatnik | Statement: [Len Blavatnik, familyName, Blavatnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blavatnik
Context triple: [Len Blavatnik, familyName, Blavatnik]
  • A. Blavatnik ICRC
    Blavatnik ICRC is a multidisciplinary academic center focused on advancing research and policy in cybersecurity and related digital domains.
  • B. Paul Milstein
    Paul Milstein was a prominent New York real estate developer and philanthropist who played a major role in shaping Manhattan’s modern skyline.
  • C. Blavatnik Family Foundation chosen
    The Blavatnik Family Foundation is a philanthropic organization established by businessman Len Blavatnik that supports major initiatives in education, science, culture, and the arts worldwide.
  • D. Len Blavatnik
    Len Blavatnik is a Ukrainian-born British-American billionaire industrialist and philanthropist known for his diversified investments in media, chemicals, and technology.
  • E. Zanvyl Krieger
    Zanvyl Krieger was an American businessman and philanthropist best known for his major charitable contributions to educational and cultural institutions, particularly Johns Hopkins University.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3f8fdc8190b05b6c41b38f34b7 completed April 20, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b23f8448190ab79b3a6ac3e23c1 completed May 16, 2026, 2:11 p.m.
Created at: April 16, 2026, 11:29 a.m.