Triple

T10396602
Position Surface form Disambiguated ID Type / Status
Subject Tin Star E245036 entity
Predicate starring P1507 FINISHED
Object Michelle Thrush
Michelle Thrush is a Canadian First Nations actress known for her powerful performances in film and television, often portraying Indigenous characters and stories.
E860474 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: Michelle Thrush | Statement: [Tin Star, starring, Michelle Thrush]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Thrush
Context triple: [Tin Star, starring, Michelle Thrush]
  • A. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • B. Michelle Mylett
    Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
  • C. Sarah Etheridge
    Sarah Etheridge was the wife of prominent American financier and U.S. Secretary of the Treasury Lyman J. Gage.
  • D. Emily Williamson
    Emily Williamson was a pioneering British conservationist who co-founded what became the Royal Society for the Protection of Birds, helping launch the modern bird protection movement.
  • E. Lisa Lynne
    Lisa Lynne is an American Celtic harpist and composer known for her melodic, folk-inspired instrumental music and collaborations in the new age and world music genres.
  • 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: Michelle Thrush
Triple: [Tin Star, starring, Michelle Thrush]
Generated description
Michelle Thrush is a Canadian First Nations actress known for her powerful performances in film and television, often portraying Indigenous characters and stories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michelle Thrush
Target entity description: Michelle Thrush is a Canadian First Nations actress known for her powerful performances in film and television, often portraying Indigenous characters and stories.
  • A. Shiri Appleby
    Shiri Appleby is an American actress best known for her lead role in the TV series "Roswell" and her later work on shows like "UnREAL."
  • B. Michelle Mylett
    Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
  • C. Sarah Etheridge
    Sarah Etheridge was the wife of prominent American financier and U.S. Secretary of the Treasury Lyman J. Gage.
  • D. Emily Williamson
    Emily Williamson was a pioneering British conservationist who co-founded what became the Royal Society for the Protection of Birds, helping launch the modern bird protection movement.
  • E. Lisa Lynne
    Lisa Lynne is an American Celtic harpist and composer known for her melodic, folk-inspired instrumental music and collaborations in the new age and world music genres.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9cf79348190975d6c1791e3b621 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795cf331c8190b35caf3997dc29a3 completed April 9, 2026, 12:04 p.m.
NEDg Description generation batch_69d7bde050ac8190b87a0c81700ad1b1 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e60afaf481909a0790c94e323143 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, 12:06 p.m.