Triple

T22130718
Position Surface form Disambiguated ID Type / Status
Subject WorldWired Tour E546896 entity
Predicate featuresSong P2152 FINISHED
Object Fuel
"Fuel" is a high-energy heavy metal song by Metallica, known for its fast tempo and adrenaline-charged chorus.
 E1522875 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: Fuel | Statement: [WorldWired Tour, featuresSong, Fuel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fuel
Context triple: [WorldWired Tour, featuresSong, Fuel]
  • A. Fuel
    Fuel is an American rock band, prominent in the late 1990s and early 2000s post-grunge scene, known for hits like "Hemorrhage (In My Hands)" and "Shimmer."
  • B. Gasoline
    Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
  • C. Gasoline
    "Gasoline" is a dark, introspective pop song by American singer Halsey that explores themes of mental health, identity, and self-destruction.
  • D. GasGas
    GasGas is a Spanish motorcycle manufacturer best known for its off-road, enduro, and trial bikes, and more recently its presence in MotoGP.
  • E. Jet-A kerosene
    Jet-A kerosene is a widely used aviation turbine fuel for jet and turboprop aircraft, characterized by its high energy density, controlled combustion properties, and strict performance and safety specifications.
  • 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: Fuel
Triple: [WorldWired Tour, featuresSong, Fuel]
Generated description
"Fuel" is a high-energy heavy metal song by Metallica, known for its fast tempo and adrenaline-charged chorus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fuel
Target entity description: "Fuel" is a high-energy heavy metal song by Metallica, known for its fast tempo and adrenaline-charged chorus.
  • A. Fuel
    Fuel is an American rock band, prominent in the late 1990s and early 2000s post-grunge scene, known for hits like "Hemorrhage (In My Hands)" and "Shimmer."
  • B. Gasoline
    Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
  • C. Gasoline
    "Gasoline" is a dark, introspective pop song by American singer Halsey that explores themes of mental health, identity, and self-destruction.
  • D. GasGas
    GasGas is a Spanish motorcycle manufacturer best known for its off-road, enduro, and trial bikes, and more recently its presence in MotoGP.
  • E. Jet-A kerosene
    Jet-A kerosene is a widely used aviation turbine fuel for jet and turboprop aircraft, characterized by its high energy density, controlled combustion properties, and strict performance and safety specifications.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12985e3688190917884c6bd487810 completed April 28, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eb235e081908ee394e0847c3061 completed May 18, 2026, 5:08 a.m.
NEDg Description generation batch_6a0a9fbe9e688190af72e308d32d51de completed May 18, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa027a4008190bbaf5906c43bc894 completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:32 p.m.