Triple

T14430373
Position Surface form Disambiguated ID Type / Status
Subject Penny Dreadful E357808 entity
Predicate producer P490 FINISHED
Object Karen Richards E357808 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: Karen Richards | Statement: [Penny Dreadful, producer, Karen Richards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Richards
Context triple: [Penny Dreadful, producer, Karen Richards]
  • A. Karen Richards
    Karen Richards is a key character in the classic film "All About Eve," a theater insider whose friendship and decisions help drive the story’s backstage drama and betrayal.
  • B. Karen Richards
    Karen Richards is a central character in the musical "Applause," serving as a young, idealistic writer whose relationship with aging star Margo Channing drives much of the show's dramatic tension.
  • C. Karen Richards
    Karen Richards is a fictional character from the 1949 play "Aged in Wood," likely serving as a central figure in its dramatic narrative.
  • D. Karen Richards chosen
    Karen Richards is a television producer best known for her executive production work on the horror drama series "Penny Dreadful."
  • E. Carol Richards
    Carol Richards was an American singer best remembered for her popular mid-20th-century vocal performances, including classic holiday recordings.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dfbc28819090cf56f16b5e7c39 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 1:18 a.m.