Triple

T13694576
Position Surface form Disambiguated ID Type / Status
Subject Hidden Figures E328350 entity
Predicate featuresCharacter P626 FINISHED
Object Mary Jackson E1058026 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: Mary Jackson | Statement: [Hidden Figures, featuresCharacter, Mary Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Jackson
Context triple: [Hidden Figures, featuresCharacter, Mary Jackson]
  • A. Mary Jackson chosen
    Mary Jackson was NASA’s first Black female engineer, whose pioneering work and story were prominently featured in the book and film "Hidden Figures."
  • B. Katherine Johnson
    Katherine Johnson was an African American mathematician whose critical orbital mechanics calculations for NASA enabled early U.S. crewed spaceflights, including John Glenn’s historic mission.
  • C. Elizabeth Mattingly
    Elizabeth Mattingly is known as the wife of former NASA astronaut and Apollo program command module pilot Ken Mattingly.
  • D. Sheila Gestring
    Sheila Gestring is an American higher education leader who serves as the president of the University of South Dakota.
  • E. Jean Terrell
    Jean Terrell is an American singer best known as the lead vocalist of The Supremes in the early 1970s following Diana Ross’s departure.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b063661481908da569084c20f37c completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:54 p.m.