Triple

T18946023
Position Surface form Disambiguated ID Type / Status
Subject Legacy of the Force E463515 entity
Predicate author P4 FINISHED
Object Karen Traviss NE NERFINISHED

How this triple was built (3 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: Karen Traviss | Statement: [Legacy of the Force, author, Karen Traviss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Traviss
Context triple: [Legacy of the Force, author, Karen Traviss]
  • A. Sandra Henderson
    Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
  • B. C. J. Cherryh
    C. J. Cherryh is an American science fiction and fantasy author renowned for her complex world-building, anthropological depth, and influential works such as the Alliance–Union universe and the Foreigner series.
  • C. Margaret Sterling
    Margaret Sterling is a fictional character from the television series "Mad Men," known as the daughter of advertising executive Roger Sterling.
  • D. Connie Willis
    Connie Willis is an acclaimed American science fiction and fantasy author known for her witty, emotionally rich time-travel stories and multiple Hugo and Nebula Award wins.
  • E. Katharine Meyer
    Katharine Meyer was an influential American publisher and business leader best known for transforming The Washington Post into a major national newspaper and overseeing its coverage of the Pentagon Papers and Watergate scandal.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karen Traviss
Target entity description: Karen Traviss is a British science fiction author best known for her work in the Star Wars and Gears of War franchises, noted for her focus on military themes and complex moral conflicts.
  • A. Sandra Henderson
    Sandra Henderson is a Canadian former athlete best known for co-lighting the Olympic cauldron at the 1976 Summer Olympics in Montreal.
  • B. C. J. Cherryh
    C. J. Cherryh is an American science fiction and fantasy author renowned for her complex world-building, anthropological depth, and influential works such as the Alliance–Union universe and the Foreigner series.
  • C. Margaret Sterling
    Margaret Sterling is a fictional character from the television series "Mad Men," known as the daughter of advertising executive Roger Sterling.
  • D. Connie Willis
    Connie Willis is an acclaimed American science fiction and fantasy author known for her witty, emotionally rich time-travel stories and multiple Hugo and Nebula Award wins.
  • E. Katharine Meyer
    Katharine Meyer was an influential American publisher and business leader best known for transforming The Washington Post into a major national newspaper and overseeing its coverage of the Pentagon Papers and Watergate scandal.
  • F. None of above. chosen

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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d53f6eb8819099b1268db8b14d66 completed April 20, 2026, 7:26 a.m.
Created at: April 10, 2026, 11:59 a.m.