Triple

T3422738
Position Surface form Disambiguated ID Type / Status
Subject On Golden Pond E72150 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: [On Golden Pond, starring, Jane Fonda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Fonda
Context triple: [On Golden Pond, 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. Lee Grant
    Lee Grant is an Academy Award–winning American actress and director known for her powerful film and television performances and later work as a documentarian.
  • D. Glenn Close
    Glenn Close is an acclaimed American actress known for her powerful performances in film, television, and theater, with multiple Academy Award and Tony Award nominations and wins.
  • E. Candice Bergen
    Candice Bergen is an American actress and former fashion model best known for her Emmy-winning role as the sharp-tongued journalist Murphy Brown on the hit television sitcom of the same name.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb95223e081908b2954769d2f46c8 completed March 8, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69b35472881c8190baf90b91daa924ec completed March 13, 2026, 12:04 a.m.
Created at: March 8, 2026, 3:15 p.m.