Triple

T12258715
Position Surface form Disambiguated ID Type / Status
Subject Superstar E292166 entity
Predicate hasPart P35 FINISHED
Object Slow Whine
Slow Whine is a track featured on the album "Superstar," known for its smooth, laid-back vibe and melodic style.
E972960 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: Slow Whine | Statement: [Superstar, hasPart, Slow Whine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Slow Whine
Context triple: [Superstar, hasPart, Slow Whine]
  • A. Slow Wine
    "Slow Wine" is an R&B song by the American group Tony! Toni! Toné! known for its smooth, romantic groove and soulful vocal harmonies.
  • B. Slow Burn
    "Slow Burn" is a critically acclaimed, introspective country-pop song by Kacey Musgraves that opens her album "Golden Hour" and reflects on taking life at an unhurried, reflective pace.
  • C. Slow Burn
    Slow Burn is a critically acclaimed Slate narrative podcast that revisits major political and cultural scandals in American history with deep, serialized reporting.
  • D. Slow Burn
    "Slow Burn" is a science fiction work by British critic and author David Langford, known for his sharp wit and inventive speculative ideas.
  • E. Slow and Low
    "Slow and Low" is a hard-hitting, old-school hip hop track by the Beastie Boys, known for its heavy beats, shouted vocals, and party-centric lyrics.
  • 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: Slow Whine
Triple: [Superstar, hasPart, Slow Whine]
Generated description
Slow Whine is a track featured on the album "Superstar," known for its smooth, laid-back vibe and melodic style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Slow Whine
Target entity description: Slow Whine is a track featured on the album "Superstar," known for its smooth, laid-back vibe and melodic style.
  • A. Slow Wine
    "Slow Wine" is an R&B song by the American group Tony! Toni! Toné! known for its smooth, romantic groove and soulful vocal harmonies.
  • B. Slow Burn
    "Slow Burn" is a critically acclaimed, introspective country-pop song by Kacey Musgraves that opens her album "Golden Hour" and reflects on taking life at an unhurried, reflective pace.
  • C. Slow Burn
    Slow Burn is a critically acclaimed Slate narrative podcast that revisits major political and cultural scandals in American history with deep, serialized reporting.
  • D. Slow Burn
    "Slow Burn" is a science fiction work by British critic and author David Langford, known for his sharp wit and inventive speculative ideas.
  • E. Slow and Low
    "Slow and Low" is a hard-hitting, old-school hip hop track by the Beastie Boys, known for its heavy beats, shouted vocals, and party-centric lyrics.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ccadc3c81908fe68adc3fdcc851 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60abfc8588190ab9300c6e5e59092 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f61a13fd1481908a06ca65b276e0e1 completed May 2, 2026, 3:36 p.m.
NED2 Entity disambiguation (via description) batch_69f61ad2bd0c8190ada37bc1f8ae160f completed May 2, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:52 p.m.