Triple

T3956649
Position Surface form Disambiguated ID Type / Status
Subject Sophia Petrillo E85795 entity
Predicate partOf P40 FINISHED
Object The Golden Girls main cast E25767 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: The Golden Girls main cast | Statement: [Sophia Petrillo, partOf, The Golden Girls main cast]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Golden Girls main cast
Context triple: [Sophia Petrillo, partOf, The Golden Girls main cast]
  • A. The Golden Girls chosen
    The Golden Girls is a beloved American sitcom about four older women sharing a home in Miami, celebrated for its sharp humor, progressive themes, and enduring cultural impact.
  • B. Good Girls
    Good Girls is an American dark comedy-drama television series about three suburban mothers who turn to crime to solve their financial problems.
  • C. Maude
    Maude is a 1970s American sitcom created by Norman Lear that follows the outspoken, liberal Maude Findlay and is known for tackling controversial social and political issues with sharp humor.
  • D. Maude
    Maude is a small rural locality within the Hay Shire local government area in New South Wales, Australia.
  • E. Laverne & Shirley
    Laverne & Shirley is an American sitcom that follows the comedic misadventures of two single women working in a Milwaukee brewery in the 1950s and 1960s.
  • 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_69aed93a96908190bcbdbfa718f155bd completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef95bbb9c8190bd64c5b7ea2f341a completed March 9, 2026, 4:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b533aea08c8190b83d83e3ba89848c completed March 14, 2026, 10:08 a.m.
Created at: March 9, 2026, 3:31 p.m.