Triple

T12669009
Position Surface form Disambiguated ID Type / Status
Subject Michael Dorn E302627 entity
Predicate workedWith P398 FINISHED
Object Nana Visitor E741063 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: Nana Visitor | Statement: [Michael Dorn, workedWith, Nana Visitor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nana Visitor
Context triple: [Michael Dorn, workedWith, Nana Visitor]
  • A. Nana Visitor chosen
    Nana Visitor is an American actress best known for her role as Major Kira Nerys on the television series "Star Trek: Deep Space Nine."
  • B. Tricia Helfer
    Tricia Helfer is a Canadian actress and former model best known for her iconic role as the humanoid Cylon Number Six in the reimagined Battlestar Galactica television series.
  • C. Genie Francis
    Genie Francis is an American actress best known for her iconic role as Laura Spencer on the long-running soap opera "General Hospital."
  • D. Jeri Ryan
    Jeri Ryan is an American actress best known for her role as the Borg drone Seven of Nine in the science fiction television franchise Star Trek.
  • E. Deborah Morse
    Deborah Morse is the Alaska high school principal who became the petitioner in the U.S. Supreme Court student-speech case Morse v. Frederick.
  • 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_69d7bded71a88190bb76e2413af9ea66 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96183a6048190b2ef219eb9d20aa4 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6719fb8bc8190b581a7fcfb252404 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:20 p.m.