Triple

T15825944
Position Surface form Disambiguated ID Type / Status
Subject Battle of Mount Kent E383741 entity
Predicate commander P1061 FINISHED
Object Mike Rose
Mike Rose is a British Army officer best known for commanding special forces during the Falklands War, including operations around Mount Kent.
 E1183257 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: Mike Rose | Statement: [Battle of Mount Kent, commander, Mike Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mike Rose
Context triple: [Battle of Mount Kent, commander, Mike Rose]
  • A. Rob LaDuca
    Rob LaDuca is an American animation director best known for his work on Disney animated films and sequels, including co-directing The Lion King II: Simba’s Pride.
  • B. Ben Klibreck
    Ben Klibreck is a prominent mountain in the Scottish Highlands, known for its isolated position and sweeping views over the county of Sutherland.
  • C. Mike Rodden
    Mike Rodden is a performer known for his work in the extreme sports and stunt-focused entertainment show "Extreme Behavior."
  • D. Mike Rodden
    Mike Rodden is a musician best known as a member of the American rock band Hinder.
  • E. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • 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: Mike Rose
Triple: [Battle of Mount Kent, commander, Mike Rose]
Generated description
Mike Rose is a British Army officer best known for commanding special forces during the Falklands War, including operations around Mount Kent.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mike Rose
Target entity description: Mike Rose is a British Army officer best known for commanding special forces during the Falklands War, including operations around Mount Kent.
  • A. Rob LaDuca
    Rob LaDuca is an American animation director best known for his work on Disney animated films and sequels, including co-directing The Lion King II: Simba’s Pride.
  • B. Ben Klibreck
    Ben Klibreck is a prominent mountain in the Scottish Highlands, known for its isolated position and sweeping views over the county of Sutherland.
  • C. Mike Rodden
    Mike Rodden is a performer known for his work in the extreme sports and stunt-focused entertainment show "Extreme Behavior."
  • D. Mike Rodden
    Mike Rodden is a musician best known as a member of the American rock band Hinder.
  • E. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama productions.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e602e5481908baa71c3d9b2008f completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb03ac77081908f2b169d7d26b318 completed May 9, 2026, 10:07 p.m.
NEDg Description generation batch_69ffb1570324819086dfd14bab516811 completed May 9, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69ffb1eedaf481908d70e3517fbd5492 completed May 9, 2026, 10:15 p.m.
Created at: April 10, 2026, 4:49 a.m.