Triple

T5537505
Position Surface form Disambiguated ID Type / Status
Subject Hollywood Forever Cemetery E145199 entity
Predicate burialPlaceOf P196 FINISHED
Object Fay Wray E4506 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: Fay Wray | Statement: [Hollywood Forever Cemetery, burialPlaceOf, Fay Wray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fay Wray
Context triple: [Hollywood Forever Cemetery, burialPlaceOf, Fay Wray]
  • A. Fay Wray chosen
    Fay Wray was a Canadian-American actress best known for her iconic role as the damsel Ann Darrow in the classic 1933 film "King Kong."
  • B. Maureen O'Brien
    Maureen O'Brien is a British actress best known for playing the First Doctor’s companion Vicki in the classic science fiction television series Doctor Who.
  • C. Colleen Moore
    Colleen Moore was a popular American silent film actress best known for her flapper roles in the 1920s, which helped define the era’s modern screen heroine.
  • D. Clara Bow
    Clara Bow was a hugely popular American silent film actress of the 1920s, famously known as the original "It Girl" and a defining sex symbol of the Jazz Age.
  • E. Merle Oberon
    Merle Oberon was a British-Indian actress best known for her glamorous Hollywood career in the 1930s and 1940s, including acclaimed performances in classic romantic dramas.
  • 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fb19cb8819088b21e8ebef63d8b completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02817cb04819088df72950c791144 completed March 22, 2026, 5:34 p.m.
Created at: March 22, 2026, 3:34 p.m.