Triple

T351109
Position Surface form Disambiguated ID Type / Status
Subject Elsa Einstein E7444 entity
Predicate familyName P18 FINISHED
Object Einstein E7444 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: Einstein | Statement: [Elsa Einstein, familyName, Einstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Einstein
Context triple: [Elsa Einstein, familyName, Einstein]
  • A. Albert Einstein
    Albert Einstein was a theoretical physicist best known for developing the theory of relativity and fundamentally reshaping modern physics.
  • B. Eduard Einstein
    Eduard Einstein was the younger son of physicist Albert Einstein, known for his early promise in psychiatry and his later struggles with severe mental illness.
  • C. Hans Albert Einstein
    Hans Albert Einstein was a Swiss-American engineer and educator known for his contributions to hydraulic engineering and as the second son of physicist Albert Einstein.
  • D. Elsa Einstein chosen
    Elsa Einstein was Albert Einstein’s second wife and cousin, who managed many aspects of his personal and professional life during his rise to international fame.
  • E. Stephen Hawking
    Stephen Hawking was a renowned theoretical physicist and cosmologist best known for his work on black holes, Hawking radiation, and his popular science book "A Brief History of Time."
  • 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_69a2e7e696948190bebc966535995e45 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2eb7df63c8190b7cd1bcfdfd96187 completed Feb. 28, 2026, 1:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4176f80488190bbee9a442a6a7076 completed March 1, 2026, 10:39 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.