Triple

T13393037
Position Surface form Disambiguated ID Type / Status
Subject Margaret Anderson E319622 entity
Predicate portrayedBy P1507 FINISHED
Object Jean Vander Pyl (radio) E319643 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: Jean Vander Pyl (radio) | Statement: [Margaret Anderson, portrayedBy, Jean Vander Pyl (radio)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Vander Pyl (radio)
Context triple: [Margaret Anderson, portrayedBy, Jean Vander Pyl (radio)]
  • A. Jean Vander Pyl (radio) chosen
    Jean Vander Pyl was an American actress best known for her voice work in classic radio and animated series, including providing the voice of Wilma Flintstone.
  • B. Jean Vander Pyl
    Jean Vander Pyl was an American voice actress best known for voicing Wilma Flintstone on the classic animated television series "The Flintstones."
  • C. Willie Geist
    Willie Geist is an American television personality and journalist best known as a co-host of MSNBC’s "Morning Joe" and anchor of NBC’s "Sunday Today."
  • D. Nat Pendleton
    Nat Pendleton was an American Olympic wrestler-turned-character actor best known for his comic tough-guy roles in 1930s and 1940s Hollywood films.
  • E. Nat Wartels
    Nat Wartels was a publisher best known as a co-founder and driving force behind the American publishing house Crown Publishers.
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d74e5881909828854bba7d9a87 completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72693a440819095a3136d8f49680a completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:34 p.m.