Triple

T8777200
Position Surface form Disambiguated ID Type / Status
Subject From Chaos E208614 entity
Predicate hasTrack P3284 FINISHED
Object 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.
E757009 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 Tight | Statement: [From Chaos, hasTrack, Sick Tight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sick Tight
Context triple: [From Chaos, hasTrack, Sick Tight]
  • A. 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.
  • B. 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.
  • C. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • 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. 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*.
  • 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 Tight
Triple: [From Chaos, hasTrack, Sick Tight]
Generated description
"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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sick Tight
Target entity description: "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.
  • A. 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.
  • B. 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.
  • C. Sick of Me
    "Sick of Me" is a song by the American rock band Shinedown from their album "Shenanigans."
  • 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. 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*.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f51b3d48190b542a0423d3938e0 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51d69af481909245ca327f36e9c2 completed April 3, 2026, 5:36 a.m.
NEDg Description generation batch_69cf545edf648190bb7d79a75cd9ba99 completed April 3, 2026, 5:47 a.m.
NED2 Entity disambiguation (via description) batch_69cf5513f894819087a2c39142d597b4 completed April 3, 2026, 5:50 a.m.
Created at: March 30, 2026, 6:42 p.m.