Triple

T11900358
Position Surface form Disambiguated ID Type / Status
Subject Halsey E283133 entity
Predicate notableWork P4 FINISHED
Object Gasoline
"Gasoline" is a dark, introspective pop song by American singer Halsey that explores themes of mental health, identity, and self-destruction.
 E953639 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: Gasoline | Statement: [Halsey, notableWork, Gasoline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gasoline
Context triple: [Halsey, notableWork, Gasoline]
  • A. Gasoline
    Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
  • B. Gasolina
    "Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
  • C. GasGas
    GasGas is a Spanish motorcycle manufacturer best known for its off-road, enduro, and trial bikes, and more recently its presence in MotoGP.
  • D. Kerosene
    "Kerosene" is a 2005 country song and breakthrough hit by Miranda Lambert, known for its fiery lyrics about revenge and empowerment.
  • E. Vasoline
    "Vasoline" is a 1994 grunge/alternative rock song by Stone Temple Pilots, known for its heavy riff, distinctive vocal effects, and prominent rotation on rock radio and MTV.
  • 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: Gasoline
Triple: [Halsey, notableWork, Gasoline]
Generated description
"Gasoline" is a dark, introspective pop song by American singer Halsey that explores themes of mental health, identity, and self-destruction.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gasoline
Target entity description: "Gasoline" is a dark, introspective pop song by American singer Halsey that explores themes of mental health, identity, and self-destruction.
  • A. Gasoline
    Gasoline is a 1958 poetry collection by Beat Generation writer Gregory Corso, known for its energetic, surreal, and rebellious verse.
  • B. Gasolina
    "Gasolina" is a landmark reggaeton track by Daddy Yankee that helped popularize the genre worldwide in the early 2000s.
  • C. GasGas
    GasGas is a Spanish motorcycle manufacturer best known for its off-road, enduro, and trial bikes, and more recently its presence in MotoGP.
  • D. Kerosene
    "Kerosene" is a 2005 country song and breakthrough hit by Miranda Lambert, known for its fiery lyrics about revenge and empowerment.
  • E. Vasoline
    "Vasoline" is a 1994 grunge/alternative rock song by Stone Temple Pilots, known for its heavy riff, distinctive vocal effects, and prominent rotation on rock radio and MTV.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8dd16433881909befca9774bdaab4 completed April 10, 2026, 11:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69f4182f18c08190b22706b024d60dd7 completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1c21388190b6ecb0fd602abb7d completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f4228a73708190a6d2db321e175921 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.