Triple

T21357776
Position Surface form Disambiguated ID Type / Status
Subject Sara Paretsky E526681 entity
Predicate name P16 FINISHED
Object Sara Paretsky 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: Sara Paretsky | Statement: [Sara Paretsky, name, Sara Paretsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Paretsky
Context triple: [Sara Paretsky, name, Sara Paretsky]
  • A. Sara Paretsky chosen
    Sara Paretsky is an American crime novelist best known for creating the V.I. Warshawski detective series and for her influential role in shaping modern female-centered detective fiction.
  • B. Ellen Casey
    Ellen Casey is the daughter of the late Pennsylvania governor and U.S. senator Robert P. Casey and a member of the prominent Casey political family.
  • C. Margaret Maron
    Margaret Maron was an American mystery author best known for her award-winning Judge Deborah Knott series and her influential contributions to contemporary crime fiction.
  • D. Lisa Gardner
    Lisa Gardner is an American author best known for her bestselling crime and psychological thriller novels, including the Detective D.D. Warren and FBI Profiler series.
  • E. Sue Grafton
    Sue Grafton was an American mystery writer best known for her alphabet-titled Kinsey Millhone detective novels.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8afa2d11c81908608851940e4e6d3 completed April 22, 2026, 11:23 a.m.
Created at: April 16, 2026, 5:07 p.m.