Triple

T22102013
Position Surface form Disambiguated ID Type / Status
Subject The Good Companions (1933 film) E546193 entity
Predicate stars P1956 FINISHED
Object Jessie Matthews NE NERFINISHED

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: Jessie Matthews | Statement: [The Good Companions (1933 film), stars, Jessie Matthews]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jessie Matthews
Context triple: [The Good Companions (1933 film), stars, Jessie Matthews]
  • A. Jessie Matthews chosen
    Jessie Matthews was a celebrated English actress, singer, and dancer best known for her starring roles in 1930s British musical films and stage productions.
  • B. Hattie Shaw
    Hattie Shaw is a skilled MI6 field agent and the sister of Deckard Shaw in the Fast & Furious franchise, prominently featured in "Fast & Furious Presents: Hobbs & Shaw."
  • C. Margaret Deland
    Margaret Deland was an American novelist and short story writer of the late 19th and early 20th centuries, known for her realistic portrayals of domestic life and moral conflict.
  • D. Thelma Latham
    Thelma Latham is known as the wife of American actor Philip Latham.
  • E. ZaSu Pitts
    ZaSu Pitts was an American actress known for her distinctive comedic persona and expressive features, who appeared in both silent films and talkies throughout a long Hollywood career.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129163b908190b63ace06016f4db8 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.