Triple

T16082333
Position Surface form Disambiguated ID Type / Status
Subject No Strings Attached E390139 entity
Predicate hasPart P35 FINISHED
Object It Makes Me Ill
"It Makes Me Ill" is an R&B-influenced pop song by *NSYNC from their hit album *No Strings Attached*.
 E1193167 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: It Makes Me Ill | Statement: [No Strings Attached, hasPart, It Makes Me Ill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: It Makes Me Ill
Context triple: [No Strings Attached, hasPart, It Makes Me Ill]
  • A. You Make Me Sick
    "You Make Me Sick" is a pop-R&B song by American singer Pink, released as one of the singles from her debut album.
  • B. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • C. 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.
  • D. It's Bad for Me
    "It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
  • E. 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.
  • 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: It Makes Me Ill
Triple: [No Strings Attached, hasPart, It Makes Me Ill]
Generated description
"It Makes Me Ill" is an R&B-influenced pop song by *NSYNC from their hit album *No Strings Attached*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: It Makes Me Ill
Target entity description: "It Makes Me Ill" is an R&B-influenced pop song by *NSYNC from their hit album *No Strings Attached*.
  • A. You Make Me Sick
    "You Make Me Sick" is a pop-R&B song by American singer Pink, released as one of the singles from her debut album.
  • B. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • C. 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.
  • D. It's Bad for Me
    "It's Bad for Me" is a popular song by composer Cole Porter, notably recorded by Ella Fitzgerald on her acclaimed Cole Porter songbook album.
  • E. 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.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1844b86288190ad0452aad6bdd5fb completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48cf76c8190bc96168fc2326ffb completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe5f7c9008190ba6239bc35ac7ebd completed May 10, 2026, 1:57 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6a16b30819088a5d43c73715645 completed May 10, 2026, 2 a.m.
Created at: April 10, 2026, 4:57 a.m.