Triple

T17876387
Position Surface form Disambiguated ID Type / Status
Subject Muffy Crosswire E446964 entity
Predicate friendOf P8712 FINISHED
Object Francine Frensky 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: Francine Frensky | Statement: [Muffy Crosswire, friendOf, Francine Frensky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francine Frensky
Context triple: [Muffy Crosswire, friendOf, Francine Frensky]
  • A. Francine Frensky chosen
    Francine Frensky is a spirited, athletic monkey girl and one of Arthur Read’s closest friends in the children’s animated TV series "Arthur."
  • B. Francine Smith
    Francine Smith is a central character on the animated television series "American Dad!", known as Stan Smith’s quirky, often unpredictable wife with a darkly comedic past.
  • C. Jena Friedman
    Jena Friedman is an American comedian, writer, and filmmaker known for her dark, satirical political humor and work on projects like The Daily Show and her special "American Cunt."
  • D. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • E. Rachel Ticotin
    Rachel Ticotin is an American actress best known for her roles in action and drama films and television series, including a prominent part in the sci-fi film "Total Recall."
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa614b48190bdc9e905e9e6d5e0 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:18 a.m.