Triple

T18912226
Position Surface form Disambiguated ID Type / Status
Subject Pretty in Pink E462635 entity
Predicate portrayedBy P1507 FINISHED
Object Kate Vernon 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: Kate Vernon | Statement: [Pretty in Pink, portrayedBy, Kate Vernon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Vernon
Context triple: [Pretty in Pink, portrayedBy, Kate Vernon]
  • A. Kate Vernon chosen
    Kate Vernon is a Canadian-born actress best known for her roles in television series such as Battlestar Galactica and films including Malice and Pretty in Pink.
  • B. Sophie Aldred
    Sophie Aldred is a British actress best known for playing the Seventh Doctor’s companion Ace in the long-running science fiction series Doctor Who.
  • C. Kate Fisher
    Kate Fisher is the mother of American singer and actor Eddie Fisher.
  • D. Vivean Gray
    Vivean Gray was an English-born Australian character actress best known for her roles in film and television, including the classic mystery drama "Picnic at Hanging Rock."
  • E. Laura Carmichael
    Laura Carmichael is a British actress best known for her role as Lady Edith Crawley in the television series "Downton Abbey."
  • 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_69d8dcfd05bc819088903cca13cc2846 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c6238e288190b30311b5d80beafb completed April 20, 2026, 6:22 a.m.
Created at: April 10, 2026, 11:58 a.m.