Triple

T22003345
Position Surface form Disambiguated ID Type / Status
Subject Dark Matter E543386 entity
Predicate starredActor P5563 FINISHED
Object Zoie Palmer 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: Zoie Palmer | Statement: [Dark Matter, starredActor, Zoie Palmer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoie Palmer
Context triple: [Dark Matter, starredActor, Zoie Palmer]
  • A. Zoie Palmer chosen
    Zoie Palmer is a Canadian actress best known for her genre television roles, including prominent parts in sci-fi series such as Dark Matter and Lost Girl.
  • B. Melissa Cobb
    Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
  • C. Heather Lind
    Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
  • 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. Nicole Kassell
    Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276cab5c8190ac1236fde7e0394a completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.