Triple

T4556077
Position Surface form Disambiguated ID Type / Status
Subject Jane Rizzoli E120480 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: [Jane Rizzoli, creator, Tess Gerritsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tess Gerritsen
Context triple: [Jane Rizzoli, 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. Mary Higgins Clark
    Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
  • 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_69bd4636f1648190a701445c2fcd9c17 completed March 20, 2026, 1:05 p.m.
NER Named-entity recognition batch_69bd5814f56c8190a65f61f6148b7e5a completed March 20, 2026, 2:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa1681708190ae4dc66e8734e5a1 completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:09 p.m.