Triple

T5641139
Position Surface form Disambiguated ID Type / Status
Subject Maura Isles E124267 entity
Predicate creator P184 FINISHED
Object Tess Gerritsen E120479 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: Tess Gerritsen | Statement: [Maura Isles, creator, Tess Gerritsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess Gerritsen
Context triple: [Maura Isles, creator, Tess Gerritsen]
  • A. Tess Gerritsen chosen
    Tess Gerritsen is an American physician-turned-bestselling author best known for her crime thriller novels, particularly the series featuring detective Jane Rizzoli and medical examiner Maura Isles.
  • B. Patricia Cornwell
    Patricia Cornwell is an American crime writer best known for her bestselling Kay Scarpetta series of forensic thrillers.
  • C. 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.
  • D. Dina Meyer
    Dina Meyer is an American actress best known for her roles in science fiction and horror films and television series, including the Saw franchise and Birds of Prey.
  • 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 (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_69c00824643c81909ffdb888a2d35189 completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c02286a14481908703ec1741343b76 completed March 22, 2026, 5:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d780e988190af0efdc6cc17b72e completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:41 p.m.