Triple

T13393722
Position Surface form Disambiguated ID Type / Status
Subject Jean Vander Pyl E319643 entity
Predicate name P16 FINISHED
Object Jean Vander Pyl E925917 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 | Statement: [Jean Vander Pyl, name, Jean Vander Pyl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Vander Pyl
Context triple: [Jean Vander Pyl, name, Jean Vander Pyl]
  • A. Jean Vander Pyl chosen
    Jean Vander Pyl was an American voice actress best known for voicing Wilma Flintstone on the classic animated television series "The Flintstones."
  • B. Lee Gilmer
    Lee Gilmer was an individual significant enough to local aviation or the surrounding community that a regional airport was named in his honor.
  • C. Kip Pardue
    Kip Pardue is an American actor and former model best known for his roles in films like "Remember the Titans" and "Driven."
  • D. Sam O'Steen
    Sam O'Steen was an acclaimed American film editor best known for his work on influential films such as "The Graduate," "Chinatown," and "Cool Hand Luke."
  • E. Eric Bedford
    Eric Bedford was a British architect best known for designing London’s iconic BT Tower in the 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_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_69f7306fb8348190a325a07a1ac858fd completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.