Triple

T10488429
Position Surface form Disambiguated ID Type / Status
Subject Simon "Sick Boy" Williamson E247350 entity
Predicate alias P39 FINISHED
Object Sick Boy
Sick Boy is a charismatic, amoral heroin addict and one of the central anti-hero characters in Irvine Welsh’s Trainspotting universe.
 E867012 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: Sick Boy | Statement: [Simon "Sick Boy" Williamson, alias, Sick Boy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sick Boy
Context triple: [Simon "Sick Boy" Williamson, alias, Sick Boy]
  • A. Sick Boy
    "Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
  • B. So Sick
    "So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
  • C. Love Sick
    "Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
  • D. Love Sick
    Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
  • E. Sick Tight
    "Sick Tight" is a song by the American rock band 311 from their 2001 album *From Chaos*, blending alternative rock with the group's signature reggae and funk influences.
  • 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: Sick Boy
Triple: [Simon "Sick Boy" Williamson, alias, Sick Boy]
Generated description
Sick Boy is a charismatic, amoral heroin addict and one of the central anti-hero characters in Irvine Welsh’s Trainspotting universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sick Boy
Target entity description: Sick Boy is a charismatic, amoral heroin addict and one of the central anti-hero characters in Irvine Welsh’s Trainspotting universe.
  • A. Sick Boy
    "Sick Boy" is a 2018 electronic-pop single by The Chainsmokers that explores themes of identity, fame, and societal pressure in the digital age.
  • B. So Sick
    "So Sick" is a popular R&B song by Ne-Yo, known for its melancholic theme of heartbreak and its success as one of his breakthrough hits.
  • C. Love Sick
    "Love Sick" is a song by Bob Dylan, best known as the haunting, blues-infused opening track of his 1997 album *Time Out of Mind*.
  • D. Love Sick
    Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
  • E. Sick Tight
    "Sick Tight" is a song by the American rock band 311 from their 2001 album *From Chaos*, blending alternative rock with the group's signature reggae and funk influences.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5096b609c81909e23fd8fb6426f4a completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dc9792308190b09d6aaed63dd418 completed April 10, 2026, 11:18 a.m.
NEDg Description generation batch_69d8e8c81bdc8190b6b6dfe00025b514 completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901e1ecf88190acd24a0e20462cb9 completed April 10, 2026, 1:57 p.m.
Created at: April 6, 2026, 12:23 p.m.