Triple

T10002520
Position Surface form Disambiguated ID Type / Status
Subject STS-60 E197360 entity
Predicate missionSpecialist P21471 FINISHED
Object N. Jan Davis E699043 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: N. Jan Davis | Statement: [STS-60, missionSpecialist, N. Jan Davis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N. Jan Davis
Context triple: [STS-60, missionSpecialist, N. Jan Davis]
  • A. N. Jan Davis chosen
    N. Jan Davis is an American engineer, former NASA astronaut, and veteran of three Space Shuttle missions.
  • B. Jean Rodenbaugh Davis
    Jean Rodenbaugh Davis was the wife of James J. Davis, a prominent American politician and U.S. Secretary of Labor in the early 20th century.
  • C. Dorothy E. Davis
    Dorothy E. Davis was the lead student plaintiff in the Virginia school desegregation case Davis v. County School Board of Prince Edward County, one of the five cases consolidated into the landmark Supreme Court decision Brown v. Board of Education.
  • D. Lyn Davis
    Lyn Davis is best known as the wife of influential American television writer and producer Norman Lear.
  • E. Georgia Davis
    Georgia Davis was the second wife of American comedian and actor Red Skelton, with whom she shared both personal and professional aspects of his entertainment career.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc9078788190a4e75dd7ff830c63 completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2820063f48190886619fe26b0cc94 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:51 p.m.