Triple

T20127009
Position Surface form Disambiguated ID Type / Status
Subject Jamie’s 30-Minute Meals E490784 entity
Predicate publisher P29 FINISHED
Object Michael Joseph 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: Michael Joseph | Statement: [Jamie’s 30-Minute Meals, publisher, Michael Joseph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Joseph
Context triple: [Jamie’s 30-Minute Meals, publisher, Michael Joseph]
  • A. Michael Joseph chosen
    Michael Joseph is a British publishing imprint of Penguin Books known for producing a wide range of commercial fiction and non-fiction titles.
  • B. Michael William
    Michael William is the given name of Michael William Balfe, a 19th-century Irish composer best known for his operas such as "The Bohemian Girl."
  • C. Michael Stephen
    Michael Stephen is a physicist best known for co-developing the influential Bardeen–Stephen model that describes flux flow in type-II superconductors.
  • D. Michael Michele
    Michael Michele is an American actress best known for her roles in films like "New Jack City" and television series such as "ER" and "Homicide: Life on the Street."
  • E. Michael Patrick Jann
    Michael Patrick Jann is an American film and television director and comedian best known for his work on the cult mockumentary film "Drop Dead Gorgeous" and the sketch comedy series "The State."
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66743494c81908e63a5efca3aa3ea completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:31 p.m.