Triple

T372775
Position Surface form Disambiguated ID Type / Status
Subject Hans Albert Einstein E8304 entity
Predicate familyName P18 FINISHED
Object Einstein E8304 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: [Hans Albert Einstein, familyName, Einstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Einstein
Context triple: [Hans Albert 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. Rudolf Einstein
    Rudolf Einstein was the father of Elsa Einstein, who was both the second wife and cousin of physicist Albert Einstein.
  • C. 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.
  • D. Hans Albert Einstein chosen
    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.
  • E. Elsa Einstein
    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.
  • 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_69a2e7f2ec648190b42bc7db424f8109 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec018d508190b5687a9ba90b3092 completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a42f5ff0608190909be378b1871327 completed March 1, 2026, 12:21 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.