Triple

T17015289
Position Surface form Disambiguated ID Type / Status
Subject Foul Play E412804 entity
Predicate hasCastMember P2308 FINISHED
Object Marilyn Sokol 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: Marilyn Sokol | Statement: [Foul Play, hasCastMember, Marilyn Sokol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marilyn Sokol
Context triple: [Foul Play, hasCastMember, Marilyn Sokol]
  • A. Marilyn Sokol chosen
    Marilyn Sokol is an American actress, comedian, and singer known for her character work in film, television, and theater since the 1970s.
  • B. Marla Sokoloff
    Marla Sokoloff is an American actress known for her roles in films and television series such as "Dude, Where's My Car?" and "The Practice."
  • C. Marla Frumkin
    Marla Frumkin is an American voice actress best known for portraying Velma Dinkley in the Scooby-Doo animated franchise.
  • D. Marilyn Friedman
    Marilyn Friedman is an American philosopher known for her work in feminist ethics, political philosophy, and the concept of autonomy.
  • E. Linda Rogo
    Linda Rogo is a central passenger character in the disaster film "The Poseidon Adventure," known for her tough, streetwise demeanor and complex past as a former prostitute married to a police detective.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d47f198c8190b0473f638101f606 completed April 18, 2026, 6:59 p.m.
Created at: April 10, 2026, 5:33 a.m.