Triple

T12631781
Position Surface form Disambiguated ID Type / Status
Subject Play Misty for Me E301660 entity
Predicate starring P1507 FINISHED
Object Jessica Walter E100743 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: Jessica Walter | Statement: [Play Misty for Me, starring, Jessica Walter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessica Walter
Context triple: [Play Misty for Me, starring, Jessica Walter]
  • A. Jessica Walter chosen
    Jessica Walter was an American actress best known for her sharp, comedic portrayal of Lucille Bluth on the television series "Arrested Development."
  • B. Anne Meara
    Anne Meara was an American actress and comedian, best known as half of the comedy duo Stiller and Meara and for her extensive work in television, film, and theater.
  • C. Dianne Wiest
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • D. 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.
  • E. Rhea Perlman
    Rhea Perlman is an American actress best known for her Emmy-winning role as the sharp-tongued waitress Carla Tortelli on the classic sitcom "Cheers."
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9610e4f408190946f37325d69375c completed April 10, 2026, 8:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c0d89b988190bde04701c4d1f904 completed May 3, 2026, 3:28 a.m.
Created at: April 9, 2026, 5:15 p.m.