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.