Triple

T17745770
Position Surface form Disambiguated ID Type / Status
Subject Lamut E442985 entity
Predicate alsoKnownAs P39 FINISHED
Object Even 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: Even | Statement: [Lamut, alsoKnownAs, Even]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Even
Context triple: [Lamut, alsoKnownAs, Even]
  • A. Even chosen
    The Even are an Indigenous Siberian people traditionally engaged in reindeer herding, hunting, and fishing across northeastern Russia.
  • B. Even
    Even is a surname most notably associated with Shimon Even, an influential Israeli computer scientist known for his foundational work in algorithms and graph theory.
  • C. Evens
    The Evens are an Indigenous Tungusic-speaking people of northeastern Siberia, traditionally known for reindeer herding, hunting, and a nomadic lifestyle in the Russian Far East.
  • D. Odd
    Odd is a Norwegian given name, notably borne by Nobel Prize–winning chemist Odd Hassel.
  • E. Even the Odds
    Even the Odds is a component or segment within the larger work or project titled "Double or Nothing."
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47ad26940819090696c2cb86fd606 completed April 19, 2026, 6:48 a.m.
Created at: April 10, 2026, 10:09 a.m.