Triple

T12225501
Position Surface form Disambiguated ID Type / Status
Subject Bewitched E291339 entity
Predicate portrayedBy P1507 FINISHED
Object Dick York E165258 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: Dick York | Statement: [Bewitched, portrayedBy, Dick York]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick York
Context triple: [Bewitched, portrayedBy, Dick York]
  • A. Dick York chosen
    Dick York was an American actor best known for originating the role of Darrin Stephens on the television series "Bewitched" and for his work in films and radio.
  • B. Kim York
    Kim York is one of the children of American actor Dick York, best known for his role as Darrin Stephens on the classic television series "Bewitched."
  • C. Christopher York
    Christopher York is one of the children of American actor Dick York, best known for his role as the original Darrin Stephens on the television series "Bewitched."
  • D. Steve Hilliard
    Steve Hilliard is a character in the romantic comedy film "The Opposite Sex."
  • E. Gary Anthony Williams
    Gary Anthony Williams is an American actor and comedian best known for his prolific voice work in animation and video games, as well as appearances in television and film.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca2101c8190955c36704935036a completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa9023881909f8373e02d2cad4b completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.