Triple

T11394129
Position Surface form Disambiguated ID Type / Status
Subject Once in a Lifetime (1932 film) E269921 entity
Predicate stars P1956 FINISHED
Object Clara Blandick E501846 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: Clara Blandick | Statement: [Once in a Lifetime (1932 film), stars, Clara Blandick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Blandick
Context triple: [Once in a Lifetime (1932 film), stars, Clara Blandick]
  • A. Clara Blandick chosen
    Clara Blandick was an American character actress best remembered for playing Aunt Em in the classic 1939 film "The Wizard of Oz."
  • B. Adele Farrington
    Adele Farrington was an American silent film actress active in the early 20th century, known for her character roles in numerous dramas and melodramas.
  • C. Belinda Bromilow
    Belinda Bromilow is an Australian actress known for her work in television, film, and theatre, including a prominent role in the satirical historical series "The Great."
  • D. Anne Bracegirdle
    Anne Bracegirdle was a celebrated late 17th-century English stage actress renowned for her virtuous public image and prominent roles in Restoration comedy.
  • E. Clare Knight
    Clare Knight is a film editor best known for her work on major animated features, including the DreamWorks hit Kung Fu Panda 2.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d80018a58c81908b80dc9abd18d650 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e8cc338081908da977b5b7c6bef3 completed April 20, 2026, 8:50 a.m.
Created at: April 8, 2026, 9:34 p.m.