Triple

T16634157
Position Surface form Disambiguated ID Type / Status
Subject Dina Meyer E404155 entity
Predicate name P16 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: [Dina Meyer, name, Dina Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dina Meyer
Context triple: [Dina Meyer, name, 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. Kathy Reichs
    Kathy Reichs is an American forensic anthropologist and bestselling crime novelist best known for her Temperance Brennan series, which inspired the TV show "Bones."
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378e8a76c8190bf08e6f6dec63c50 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b984d081909f76ef874431ff40 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.