Triple

T13699916
Position Surface form Disambiguated ID Type / Status
Subject Johnny Mnemonic E328488 entity
Predicate starredActor P5563 FINISHED
Object Dina Meyer E404155 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: Dina Meyer | Statement: [Johnny Mnemonic, starredActor, Dina Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dina Meyer
Context triple: [Johnny Mnemonic, starredActor, Dina Meyer]
  • A. Dina Meyer chosen
    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.
  • 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. 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. Mary Higgins Clark
    Mary Higgins Clark was a bestselling American author renowned for her suspenseful mystery and thriller novels, often featuring strong female protagonists.
  • E. Patricia Cornwell
    Patricia Cornwell is an American crime writer best known for her bestselling Kay Scarpetta series of forensic thrillers.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.