Triple

T14711035
Position Surface form Disambiguated ID Type / Status
Subject Supergirl E345546 entity
Predicate portrayedBy P1507 FINISHED
Object Laura Vandervoort E998124 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: Laura Vandervoort | Statement: [Supergirl, portrayedBy, Laura Vandervoort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Vandervoort
Context triple: [Supergirl, portrayedBy, Laura Vandervoort]
  • A. Laura Vandervoort chosen
    Laura Vandervoort is a Canadian actress best known for her roles in the television series "Smallville," "V," and various film and TV projects in the science fiction and horror genres.
  • B. Deborah Van Valkenburgh
    Deborah Van Valkenburgh is an American actress best known for her roles in the cult film "The Warriors" and the 1980s sitcom "Too Close for Comfort."
  • C. Laura Malinger
    Laura Malinger is the mother of American former child actor Ross Malinger, known for his role in the film "Sleepless in Seattle."
  • D. Jessica De Gouw
    Jessica De Gouw is an Australian actress known for her work in film and television, including roles in series like "Arrow" and "Dracula."
  • E. Jennifer Keesmaat
    Jennifer Keesmaat is a Canadian urban planner and former Chief Planner of Toronto known for her advocacy of sustainable, transit-oriented city development and her 2018 mayoral campaign.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff56afa5ec8190a058574dff7431dc completed May 9, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:28 a.m.