Triple

T11464737
Position Surface form Disambiguated ID Type / Status
Subject Our Daily Bread E271750 entity
Predicate stars P1956 FINISHED
Object Karen Morley E436210 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: Karen Morley | Statement: [Our Daily Bread, stars, Karen Morley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Morley
Context triple: [Our Daily Bread, stars, Karen Morley]
  • A. Karen Morley chosen
    Karen Morley was an American film actress of the 1930s, best known for her roles in pre-Code Hollywood crime dramas and social-themed films.
  • B. June Morris
    June Morris is an American businesswoman and aviation pioneer best known for co-founding and leading the low-cost airline Morris Air, which helped transform the U.S. airline industry.
  • C. Alison Sutcliffe
    Alison Sutcliffe is a British theatre director known for her work with major UK companies and for her former marriage to actor Sir Ben Kingsley.
  • D. Mary Chilton
    Mary Chilton was a Mayflower passenger traditionally believed to be the first European woman to step ashore at Plymouth, later settling in Boston.
  • E. Stevie Crawford
    Stevie Crawford is a Scottish former professional footballer and coach best known as a prolific forward in the Scottish leagues and later as a manager.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f488248190b9f603cd31c72174 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e6248d0db881909999049356f53ff6 completed April 20, 2026, 1:05 p.m.
Created at: April 8, 2026, 9:35 p.m.