Triple

T1365913
Position Surface form Disambiguated ID Type / Status
Subject Lydia Reed E30001 entity
Predicate notableWork P4 FINISHED
Object Shirley Temple's Storybook E111044 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: Shirley Temple's Storybook | Statement: [Lydia Reed, notableWork, Shirley Temple's Storybook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shirley Temple's Storybook
Context triple: [Lydia Reed, notableWork, Shirley Temple's Storybook]
  • A. The Unsinkable Molly Brown
    The Unsinkable Molly Brown is a 1964 musical film in which Debbie Reynolds stars as the spirited Titanic survivor and socialite Margaret "Molly" Brown.
  • B. Shirley Temple chosen
    Shirley Temple was a hugely popular American child actress, singer, and dancer of the 1930s who later became a diplomat.
  • C. Meet Me in St. Louis
    Meet Me in St. Louis is a classic 1944 American musical film set in early 20th-century St. Louis, following the lives and romances of the Smith family in the lead-up to the 1904 World's Fair.
  • D. Annie
    Annie is a popular Broadway musical, later adapted into a film, about an optimistic orphan girl in 1930s New York.
  • E. The Wizard of Oz
    The Wizard of Oz is a landmark 1939 American musical fantasy film renowned for its Technicolor visuals, iconic songs, and enduring status as a classic of Hollywood cinema.
  • 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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d1d15481909d58b6fd8aa2e585 completed March 1, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7604908190a3754a20bdcb6266 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.