Triple

T10008017
Position Surface form Disambiguated ID Type / Status
Subject Sad Songs for Dirty Lovers E198300 entity
Predicate hasPart P35 FINISHED
Object Thirsty
"Thirsty" is a song by indie rock band The National from their early album "Sad Songs for Dirty Lovers."
 E834656 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: Thirsty | Statement: [Sad Songs for Dirty Lovers, hasPart, Thirsty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thirsty
Context triple: [Sad Songs for Dirty Lovers, hasPart, Thirsty]
  • A. Thirst
    Thirst is a 2009 South Korean horror-drama film directed by Park Chan-wook that follows a priest-turned-vampire struggling with faith, desire, and morality.
  • B. Drink on It
    "Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
  • C. Agua de Beber
    "Agua de Beber" is a classic bossa nova song by Antônio Carlos Jobim and Vinícius de Moraes, known for its smooth melody and poetic lyrics about the metaphorical "water of life."
  • D. Big Drip
    "Big Drip" is a breakout drill single by Brooklyn rapper Fivio Foreign that helped popularize the Brooklyn drill sound in the late 2010s.
  • E. One More Drink
    "One More Drink" is a comedic hip hop track by the duo The Lonely Island, known for its humorous storytelling and collaboration with rapper T-Pain.
  • 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: Thirsty
Triple: [Sad Songs for Dirty Lovers, hasPart, Thirsty]
Generated description
"Thirsty" is a song by indie rock band The National from their early album "Sad Songs for Dirty Lovers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thirsty
Target entity description: "Thirsty" is a song by indie rock band The National from their early album "Sad Songs for Dirty Lovers."
  • A. Thirst
    Thirst is a 2009 South Korean horror-drama film directed by Park Chan-wook that follows a priest-turned-vampire struggling with faith, desire, and morality.
  • B. Drink on It
    "Drink on It" is a country song by American singer Blake Shelton, featured on his 2011 album "Red River Blue" and released as a successful single.
  • C. Agua de Beber
    "Agua de Beber" is a classic bossa nova song by Antônio Carlos Jobim and Vinícius de Moraes, known for its smooth melody and poetic lyrics about the metaphorical "water of life."
  • D. Big Drip
    "Big Drip" is a breakout drill single by Brooklyn rapper Fivio Foreign that helped popularize the Brooklyn drill sound in the late 2010s.
  • E. One More Drink
    "One More Drink" is a comedic hip hop track by the duo The Lonely Island, known for its humorous storytelling and collaboration with rapper T-Pain.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a683c208190a79ebc2e6ec5893c completed April 5, 2026, 1:58 p.m.
NEDg Description generation batch_69d26b4060548190980bd01ef550c4bd completed April 5, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69d26bf054608190890377e9b7538842 completed April 5, 2026, 2:04 p.m.
Created at: March 30, 2026, 8:52 p.m.