Triple

T9163510
Position Surface form Disambiguated ID Type / Status
Subject Karl Pilkington E219887 entity
Predicate notableWork P4 FINISHED
Object Sick of It
Sick of It is a British comedy-drama television series starring Karl Pilkington as both a disillusioned cab driver and the voice of his inner self.
 E782873 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 of It | Statement: [Karl Pilkington, notableWork, Sick of It]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sick of It
Context triple: [Karl Pilkington, notableWork, Sick of It]
  • A. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • 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. Sick and Tired
    "Sick and Tired" is a pop-soul song by American singer Anastacia, known for its powerful vocals and themes of emotional struggle and resilience.
  • D. 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*.
  • E. Love Sick
    Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
  • 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 of It
Triple: [Karl Pilkington, notableWork, Sick of It]
Generated description
Sick of It is a British comedy-drama television series starring Karl Pilkington as both a disillusioned cab driver and the voice of his inner self.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sick of It
Target entity description: Sick of It is a British comedy-drama television series starring Karl Pilkington as both a disillusioned cab driver and the voice of his inner self.
  • A. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • 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. Sick and Tired
    "Sick and Tired" is a pop-soul song by American singer Anastacia, known for its powerful vocals and themes of emotional struggle and resilience.
  • D. 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*.
  • E. Love Sick
    Love Sick is a studio album by American rapper and singer Don Toliver that blends melodic trap, R&B, and atmospheric production.
  • 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_69ca83e3633c81908688a9fa2306ba99 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaa2d6628819084ac4734650fe912 completed April 1, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0547df750819095853f21cf740c63 completed April 3, 2026, 11:59 p.m.
NEDg Description generation batch_69d0554fda40819083ef2d13d6fba905 completed April 4, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_69d055ca4fc08190b30e1b31ded51189 completed April 4, 2026, 12:05 a.m.
Created at: March 30, 2026, 7:21 p.m.