Triple

T22638306
Position Surface form Disambiguated ID Type / Status
Subject Oscar Eckenstein E558742 entity
Predicate name P16 FINISHED
Object Oscar Eckenstein NE NERFINISHED

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: Oscar Eckenstein | Statement: [Oscar Eckenstein, name, Oscar Eckenstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oscar Eckenstein
Context triple: [Oscar Eckenstein, name, Oscar Eckenstein]
  • A. Oscar Eckenstein chosen
    Oscar Eckenstein was a pioneering British mountaineer and climbing innovator known for advancing modern ice-climbing techniques and equipment design in the late 19th and early 20th centuries.
  • B. George Jessel
    George Jessel was an American actor, comedian, and film producer known as "The Toastmaster General of the United States" for his prolific work in entertainment and public speaking.
  • C. Maurice Selwyn
    Maurice Selwyn is an actor known for appearing in the Doctor Who serial "The Krotons."
  • D. Cecil Masey
    Cecil Masey was a British architect known for designing notable early 20th-century theatres and cinemas in London.
  • E. Reginald Owen
    Reginald Owen was a British-born character actor known for his prolific Hollywood career in the early to mid-20th century, often appearing in classic films alongside major stars.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1700f9fac8190b82190a54be22413 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.