Triple

T20444072
Position Surface form Disambiguated ID Type / Status
Subject Screaming for Vengeance E501470 entity
Predicate hasTrack P3284 FINISHED
Object Fever
"Fever" is a hard rock/heavy metal song by Judas Priest from their influential 1982 album Screaming for Vengeance.
 E1431185 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: Fever | Statement: [Screaming for Vengeance, hasTrack, Fever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fever
Context triple: [Screaming for Vengeance, hasTrack, Fever]
  • A. Fever
    "Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
  • B. Fever
    "Fever" is a 2014 blues-rock single by American rock duo The Black Keys, known for its catchy organ riff and appearance on their album "Turn Blue."
  • C. Fever
    "Fever" is a popular dancehall track by Jamaican artist Adidja Palmer, better known as Vybz Kartel, noted for its infectious rhythm and widespread club and radio play.
  • D. Fever
    "Fever" is a classic, sultry jazz-pop song popularized by Peggy Lee, renowned for its minimalist arrangement and intimate vocal style.
  • E. Fever
    "Fever" is a track by the experimental hip-hop group Black Milk, known for its intricate production and innovative approach to rap music.
  • 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: Fever
Triple: [Screaming for Vengeance, hasTrack, Fever]
Generated description
"Fever" is a hard rock/heavy metal song by Judas Priest from their influential 1982 album Screaming for Vengeance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fever
Target entity description: "Fever" is a hard rock/heavy metal song by Judas Priest from their influential 1982 album Screaming for Vengeance.
  • A. Fever
    "Fever" is a 2014 blues-rock single by American rock duo The Black Keys, known for its catchy organ riff and appearance on their album "Turn Blue."
  • B. Fever
    "Fever" is a studio album by the American pop-rock band Against the Current, showcasing their energetic, melodic style and emotionally charged songwriting.
  • C. Fever
    "Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
  • D. Fever
    "Fever" is a classic, sultry jazz-pop song popularized by Peggy Lee, renowned for its minimalist arrangement and intimate vocal style.
  • E. Fever
    "Fever" is a popular dancehall track by Jamaican artist Adidja Palmer, better known as Vybz Kartel, noted for its infectious rhythm and widespread club and radio play.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68cfa7dd08190883a37e3480b152c completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a088401774081909ac697258222235b completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0884aeb868819089de185429e0d99d completed May 16, 2026, 2:52 p.m.
NED2 Entity disambiguation (via description) batch_6a0885a1276c8190bc8a843386d6be6a completed May 16, 2026, 2:56 p.m.
Created at: April 16, 2026, 11:32 a.m.