Triple

T3245979
Position Surface form Disambiguated ID Type / Status
Subject Dick Van Dyke E68067 entity
Predicate fullName P16 FINISHED
Object Richard Wayne Van Dyke E74544 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: Richard Wayne Van Dyke | Statement: [Dick Van Dyke, fullName, Richard Wayne Van Dyke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Wayne Van Dyke
Context triple: [Dick Van Dyke, fullName, Richard Wayne Van Dyke]
  • A. Dick Van Dyke chosen
    Dick Van Dyke is an American actor, comedian, and entertainer best known for his work in classic films like "Mary Poppins" and "Chitty Chitty Bang Bang" and the television series "The Dick Van Dyke Show."
  • B. Tom Bosley
    Tom Bosley was an American actor best known for playing the warm, paternal Howard Cunningham on the classic television sitcom "Happy Days."
  • C. Jack Carson
    Jack Carson was a Canadian-born American character actor known for his comedic and supporting roles in classic Hollywood films of the 1940s and 1950s.
  • D. Walter Matthau
    Walter Matthau was an American actor renowned for his gruff charm and comedic roles in films such as "The Odd Couple" and "The Bad News Bears."
  • E. Eddie Albert
    Eddie Albert was an American actor best known for his roles in film and television, particularly the sitcom "Green Acres" and numerous classic Hollywood movies.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1a96148190b63bf46209712707 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bb1c468819083b50b5858f8afe0 completed March 12, 2026, 11:26 p.m.
Created at: March 8, 2026, 3:09 p.m.