Triple

T13514981
Position Surface form Disambiguated ID Type / Status
Subject Evelyn Keyes E322735 entity
Predicate appearedIn P795 FINISHED
Object Mrs. Mike
Mrs. Mike is a 1949 romantic drama film about a young Boston woman who marries a Canadian Mountie and must adapt to the harsh life in the Canadian wilderness.
E1045891 NE FINISHED

How this triple was built (4 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: Mrs. Mike | Statement: [Evelyn Keyes, appearedIn, Mrs. Mike]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mrs. Mike
Context triple: [Evelyn Keyes, appearedIn, Mrs. Mike]
  • A. The Mick
    The Mick is an American sitcom that follows a brash, irresponsible woman who unexpectedly becomes the guardian of her wealthy sister’s spoiled children.
  • B. Mavis Grind
    Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
  • C. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • D. Moxie
    Moxie is the daughter of magician and entertainer Penn Jillette, known for her distinctive name Moxie CrimeFighter Jillette.
  • E. Marcella
    Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mrs. Mike
Triple: [Evelyn Keyes, appearedIn, Mrs. Mike]
Generated description
Mrs. Mike is a 1949 romantic drama film about a young Boston woman who marries a Canadian Mountie and must adapt to the harsh life in the Canadian wilderness.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mrs. Mike
Target entity description: Mrs. Mike is a 1949 romantic drama film about a young Boston woman who marries a Canadian Mountie and must adapt to the harsh life in the Canadian wilderness.
  • A. The Mick
    The Mick is an American sitcom that follows a brash, irresponsible woman who unexpectedly becomes the guardian of her wealthy sister’s spoiled children.
  • B. Mavis Grind
    Mavis Grind is a narrow isthmus in Northmavine, Shetland, known for nearly connecting the Atlantic Ocean and the North Sea at one of their closest points.
  • C. The Mister
    The Mister is a contemporary romance novel by E. L. James, known for its Cinderella-style love story and for being her follow-up to the Fifty Shades series.
  • D. Moxie
    Moxie is the daughter of magician and entertainer Penn Jillette, known for her distinctive name Moxie CrimeFighter Jillette.
  • E. Marcella
    Marcella is a British crime drama television series centered on a troubled former detective who returns to investigate a string of murders that echo an old case.
  • F. None of above. chosen

Provenance (5 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa0ed508190b2855171b1945e84 completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75494642881909f33962afe26f427 completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f758b29cd4819093cecff5cfefc98f completed May 3, 2026, 2:16 p.m.
NED2 Entity disambiguation (via description) batch_69f7593d74cc819099c5d39ae09c3f70 completed May 3, 2026, 2:18 p.m.
Created at: April 9, 2026, 9:44 p.m.