Triple

T16020441
Position Surface form Disambiguated ID Type / Status
Subject UB40 E388583 entity
Predicate member P10 FINISHED
Object Mickey Virtue
Mickey Virtue is a British keyboardist best known as a longtime member of the reggae/pop band UB40.
E1189104 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: Mickey Virtue | Statement: [UB40, member, Mickey Virtue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mickey Virtue
Context triple: [UB40, member, Mickey Virtue]
  • A. Kris Pearn
    Kris Pearn is a Canadian animator, storyboard artist, and director best known for co-directing "Cloudy with a Chance of Meatballs 2" and "The Willoughbys."
  • B. Kris Gemmell
    Kris Gemmell is a New Zealand triathlete who has represented his country at the highest international levels, including the Olympic Games and ITU World Cup events.
  • C. Kieren Perkins
    Kieren Perkins is a former Australian freestyle swimmer renowned for his multiple Olympic gold medals and world records in distance events such as the 1500m freestyle.
  • D. Alexi Murdoch
    Alexi Murdoch is a British singer-songwriter known for his introspective, acoustic folk music and its frequent use in film and television soundtracks.
  • E. Damien Parer
    Damien Parer was an acclaimed Australian war cinematographer best known for his frontline footage during World War II, particularly the Academy Award–winning documentary "Kokoda Front Line!".
  • 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: Mickey Virtue
Triple: [UB40, member, Mickey Virtue]
Generated description
Mickey Virtue is a British keyboardist best known as a longtime member of the reggae/pop band UB40.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mickey Virtue
Target entity description: Mickey Virtue is a British keyboardist best known as a longtime member of the reggae/pop band UB40.
  • A. Kris Pearn
    Kris Pearn is a Canadian animator, storyboard artist, and director best known for co-directing "Cloudy with a Chance of Meatballs 2" and "The Willoughbys."
  • B. Kris Gemmell
    Kris Gemmell is a New Zealand triathlete who has represented his country at the highest international levels, including the Olympic Games and ITU World Cup events.
  • C. Kieren Perkins
    Kieren Perkins is a former Australian freestyle swimmer renowned for his multiple Olympic gold medals and world records in distance events such as the 1500m freestyle.
  • D. Alexi Murdoch
    Alexi Murdoch is a British singer-songwriter known for his introspective, acoustic folk music and its frequent use in film and television soundtracks.
  • E. Damien Parer
    Damien Parer was an acclaimed Australian war cinematographer best known for his frontline footage during World War II, particularly the Academy Award–winning documentary "Kokoda Front Line!".
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183231f2c81908f4e4037c3aa180b completed April 17, 2026, 12:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf2c6128819091d8f3710578834e completed May 10, 2026, 12:19 a.m.
NEDg Description generation batch_69ffcfea613c8190abfed4d9b32eeeee completed May 10, 2026, 12:23 a.m.
NED2 Entity disambiguation (via description) batch_69ffd0b3d4b08190b1be30954d5d76c0 completed May 10, 2026, 12:26 a.m.
Created at: April 10, 2026, 4:55 a.m.