Triple

T22347877
Position Surface form Disambiguated ID Type / Status
Subject Karen Baldwin E552441 entity
Predicate associatedWith P37 FINISHED
Object NASA 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: NASA | Statement: [Karen Baldwin, associatedWith, NASA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NASA
Context triple: [Karen Baldwin, associatedWith, NASA]
  • A. NASA chosen
    NASA is the United States government agency responsible for the nation’s civilian space program and for aeronautics and aerospace research.
  • B. NASA Centers
    NASA Centers are a network of specialized field installations across the United States that conduct research, development, testing, and operations in support of NASA’s space and aeronautics missions.
  • C. NASA Headquarters
    NASA Headquarters is the central administrative and executive office of the National Aeronautics and Space Administration, overseeing the agency’s programs, policies, and strategic direction.
  • D. LaNasa
    LaNasa is the surname of American actress and former ballet dancer Katherine LaNasa, known for her work in film and television.
  • E. national center for space research
    The national center for space research is Israel’s primary governmental body responsible for coordinating and advancing the country’s space science, technology, and exploration activities.
  • 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_69e11e4a0ad08190a385b4d343cf6524 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157995bec819080b8d05fa88704ed completed April 29, 2026, 12:58 a.m.
Created at: April 16, 2026, 8:43 p.m.