Triple

T20618899
Position Surface form Disambiguated ID Type / Status
Subject Sweet Country E506644 entity
Predicate hasMainCharacter P1183 FINISHED
Object Mick Kennedy
Mick Kennedy is a central character in the Australian film "Sweet Country," depicted as a complex figure entangled in the racial and moral tensions of the 1920s Northern Territory frontier.
E1449063 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: Mick Kennedy | Statement: [Sweet Country, hasMainCharacter, Mick Kennedy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mick Kennedy
Context triple: [Sweet Country, hasMainCharacter, Mick Kennedy]
  • A. Mick Ward
    Mick Ward is a musician best known for his work with the band Kingfish.
  • B. Brian Kennedy
    Brian Kennedy is a music producer best known for his work on various R&B and pop projects, including albums like "Human."
  • C. Brian Kennedy
    Brian Kennedy is an art museum director and curator known for leading major institutions such as the Peabody Essex Museum.
  • D. Deryck Cooke
    Deryck Cooke was a British musicologist and broadcaster best known for his performing version of Gustav Mahler’s unfinished Tenth Symphony.
  • E. Michael Andrew McKagan
    Michael Andrew McKagan is an American musician best known as Duff McKagan, the longtime bassist of the rock band Guns N' Roses.
  • 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: Mick Kennedy
Triple: [Sweet Country, hasMainCharacter, Mick Kennedy]
Generated description
Mick Kennedy is a central character in the Australian film "Sweet Country," depicted as a complex figure entangled in the racial and moral tensions of the 1920s Northern Territory frontier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mick Kennedy
Target entity description: Mick Kennedy is a central character in the Australian film "Sweet Country," depicted as a complex figure entangled in the racial and moral tensions of the 1920s Northern Territory frontier.
  • A. Mick Ward
    Mick Ward is a musician best known for his work with the band Kingfish.
  • B. Brian Kennedy
    Brian Kennedy is a music producer best known for his work on various R&B and pop projects, including albums like "Human."
  • C. Brian Kennedy
    Brian Kennedy is an art museum director and curator known for leading major institutions such as the Peabody Essex Museum.
  • D. Deryck Cooke
    Deryck Cooke was a British musicologist and broadcaster best known for his performing version of Gustav Mahler’s unfinished Tenth Symphony.
  • E. Michael Andrew McKagan
    Michael Andrew McKagan is an American musician best known as Duff McKagan, the longtime bassist of the rock band Guns N' Roses.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abdf9d7c8190969247a4ae55b781 completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8262e988190a50fb3bc137669a6 completed May 16, 2026, 9:56 p.m.
NEDg Description generation batch_6a08e93ff7dc8190b4668b965e90ab10 completed May 16, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08ea02a1688190bc7944f67067bcfa completed May 16, 2026, 10:04 p.m.
Created at: April 16, 2026, 11:41 a.m.