Triple

T22593395
Position Surface form Disambiguated ID Type / Status
Subject Janna Levin E565007 entity
Predicate name P16 FINISHED
Object Janna Levin 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: Janna Levin | Statement: [Janna Levin, name, Janna Levin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Janna Levin
Context triple: [Janna Levin, name, Janna Levin]
  • A. Janna Levin chosen
    Janna Levin is an American theoretical cosmologist, author, and professor known for her work on black holes, the shape of the universe, and the cultural impact of physics.
  • B. Katherine Cannon
    Katherine Cannon is an American actress best known for her work in television series and films from the 1970s and 1980s.
  • C. Dorion Sagan
    Dorion Sagan is an American science writer and essayist known for his works on evolution, ecology, and complexity, and for coauthoring influential books with his mother, biologist Lynn Margulis.
  • D. Suzanne Holman
    Suzanne Holman, later known as Suzanne Farrington, was the daughter of famed actress Vivien Leigh and a British woman who largely lived outside the public spotlight.
  • E. Jess Remsberg
    Jess Remsberg is the tough, skilled frontier scout and central protagonist portrayed by James Garner in the 1966 Western film "Duel at Diablo."
  • 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_69e245836014819091b91ed3074742a3 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f16163cb248190b377b110d80a6730 completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 2:49 p.m.