Triple

T10467446
Position Surface form Disambiguated ID Type / Status
Subject Jack Ryan: Shadow Recruit E246832 entity
Predicate character P662 FINISHED
Object Jack Ryan E333031 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: Jack Ryan | Statement: [Jack Ryan: Shadow Recruit, character, Jack Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Ryan
Context triple: [Jack Ryan: Shadow Recruit, character, Jack Ryan]
  • A. Jack Ryan
    Jack Ryan was an American businessman and inventor best known for designing the original Barbie doll for Mattel.
  • B. Jack Ryan chosen
    Jack Ryan is a fictional CIA analyst and action hero created by author Tom Clancy, featured in a popular series of techno-thriller novels and numerous film and television adaptations.
  • C. Jack Bauer
    Jack Bauer is the relentless and resourceful counterterrorism agent who serves as the central protagonist of the television series "24."
  • D. John Puller
    John Puller is a fictional U.S. Army investigator and the protagonist of a popular military crime thriller series by David Baldacci.
  • E. Jack Bristow
    Jack Bristow is a central character from the television series "Alias," known as a highly skilled and morally complex CIA operative and the father of protagonist Sydney Bristow.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092e3230819098ab444f73c9bd40 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ff1cd948190a1ef331fb810bf26 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.