Triple

T15063584
Position Surface form Disambiguated ID Type / Status
Subject Monster-in-Law E379698 entity
Predicate starring P1507 FINISHED
Object Jane Fonda E172653 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: Jane Fonda | Statement: [Monster-in-Law, starring, Jane Fonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Fonda
Context triple: [Monster-in-Law, starring, Jane Fonda]
  • A. Jane Fonda chosen
    Jane Fonda is an acclaimed American actress, political activist, and fitness guru known for her Academy Award–winning film roles and influential workout videos.
  • B. Shirley MacLaine
    Shirley MacLaine is an acclaimed American actress, dancer, and author known for her versatile film roles, spiritual writings, and a career spanning over six decades.
  • C. Catherine Hicks
    Catherine Hicks is an American actress best known for her role as Annie Camden on the long-running television series "7th Heaven."
  • D. Harolyn Suzanne Nicholas
    Harolyn Suzanne Nicholas was the daughter of pioneering African-American actress and singer Dorothy Dandridge and dancer Harold Nicholas, whose life was marked by severe brain damage from birth and long-term institutional care.
  • E. Anna Ferzetti
    Anna Ferzetti is an Italian actress known for her work in film and television, as well as for her presence in the contemporary Italian entertainment scene.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedee803ac81908bb7d66e49c2eb72 completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69fea5c8b3ac8190b8fc921b6e6eeed5 completed May 9, 2026, 3:11 a.m.
Created at: April 10, 2026, 3:02 a.m.