Triple

T18812859
Position Surface form Disambiguated ID Type / Status
Subject Frank Cady E460058 entity
Predicate portrayed P1668 FINISHED
Object Sam Drucker 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: Sam Drucker | Statement: [Frank Cady, portrayed, Sam Drucker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Drucker
Context triple: [Frank Cady, portrayed, Sam Drucker]
  • A. Sam Drucker chosen
    Sam Drucker is a recurring shopkeeper character in the rural-themed American sitcoms "Green Acres" and "Petticoat Junction," known for running the general store in the fictional town of Hooterville.
  • B. Michael Wallach
    Michael Wallach is a film and television writer best known for his work on the thriller "The Bay."
  • C. Garth Drabinsky
    Garth Drabinsky is a Canadian theatrical producer and former film executive best known for staging large-scale Broadway and international productions, including the musical "Ragtime."
  • D. Jason Rothenberg
    Jason Rothenberg is an American television writer and producer best known for developing and showrunning the post-apocalyptic sci-fi series "The 100."
  • E. Joel Tobeck
    Joel Tobeck is a New Zealand actor known for his versatile character roles in film and television, including appearances in genre series like "Xena: Warrior Princess" and "Ash vs Evil Dead."
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3de2f6881908a9da4d5abd7ee61 completed April 20, 2026, 3:56 a.m.
Created at: April 10, 2026, 11:53 a.m.