Triple

T8865284
Position Surface form Disambiguated ID Type / Status
Subject The Black Keys E211002 entity
Predicate notableSong P4 FINISHED
Object 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."
E762392 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: [The Black Keys, notableSong, Fever]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fever
Context triple: [The Black Keys, notableSong, Fever]
  • A. Fever
    "Fever" is a track by the experimental hip-hop group Black Milk, known for its intricate production and innovative approach to rap music.
  • B. Fever
    "Fever" is a 2018 Afrobeats single by Nigerian artist Wizkid, known for its sultry vibe and viral music video featuring Tiwa Savage.
  • C. Fever
    "Fever" is a classic, sultry jazz-pop song popularized by Peggy Lee, renowned for its minimalist arrangement and intimate vocal style.
  • D. Chills and Fever
    "Chills and Fever" is a collection of poems by American poet and critic John Crowe Ransom, showcasing his formal precision, irony, and themes of Southern life and modern dislocation.
  • E. Fever 103°
    Fever 103° is a confessional poem by Sylvia Plath that vividly explores themes of illness, purification, and transcendence through intense, hallucinatory imagery.
  • 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: [The Black Keys, notableSong, Fever]
Generated description
"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."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fever
Target entity description: "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."
  • 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 classic, sultry jazz-pop song popularized by Peggy Lee, renowned for its minimalist arrangement and intimate vocal style.
  • C. Fever
    "Fever" is a track by the experimental hip-hop group Black Milk, known for its intricate production and innovative approach to rap music.
  • D. Chills and Fever
    "Chills and Fever" is a collection of poems by American poet and critic John Crowe Ransom, showcasing his formal precision, irony, and themes of Southern life and modern dislocation.
  • E. Fever 103°
    Fever 103° is a confessional poem by Sylvia Plath that vividly explores themes of illness, purification, and transcendence through intense, hallucinatory imagery.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc610569d08190b108107dfe397f18 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0d311148190823cc047e2908bc0 completed April 3, 2026, 11:13 a.m.
NEDg Description generation batch_69cfa1714b4081909035c9b15c82c1be completed April 3, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69cfa24efdc081908ef615305deb5b15 completed April 3, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:51 p.m.