Triple

T20663268
Position Surface form Disambiguated ID Type / Status
Subject Laurie Moran E507815 entity
Predicate createdBy P806 FINISHED
Object Mary Higgins Clark 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: Mary Higgins Clark | Statement: [Laurie Moran, createdBy, Mary Higgins Clark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Higgins Clark
Context triple: [Laurie Moran, createdBy, Mary Higgins Clark]
  • A. Mary Higgins Clark chosen
    Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
  • B. 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.
  • C. Sue Grafton
    Sue Grafton was an American mystery writer best known for her alphabet-titled Kinsey Millhone detective novels.
  • D. 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.
  • E. Laura Lippman
    Laura Lippman is an American author best known for her award-winning crime and mystery novels, particularly the Tess Monaghan series set in Baltimore.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2f4872481908858eb88ce89dd47 completed April 20, 2026, 11:12 p.m.
Created at: April 16, 2026, 11:44 a.m.