Triple

T4800141
Position Surface form Disambiguated ID Type / Status
Subject Paulina Gretzky E106812 entity
Predicate notableWork P4 FINISHED
Object Collecting Dust
"Collecting Dust" is a song by American model and singer Paulina Gretzky, known for its pop style and for being one of her most recognized musical releases.
 E469058 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: Collecting Dust | Statement: [Paulina Gretzky, notableWork, Collecting Dust]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Collecting Dust
Context triple: [Paulina Gretzky, notableWork, Collecting Dust]
  • A. Cities in Dust
    "Cities in Dust" is a 1985 post-punk/new wave song by Siouxsie and the Banshees, known for its vivid, apocalyptic imagery inspired by the destruction of Pompeii.
  • B. Dry Diggings
    Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
  • C. Dust
    Dust was an early 1970s American hard rock and proto–heavy metal band known for featuring future Ramones drummer Marky Ramone (then Marc Bell).
  • D. Dust
    "Dust" is a song featured in the 1938 Gene Autry Western musical film *Under Western Stars*.
  • E. A Speck of Dust
    A Speck of Dust is a stand-up comedy special by Sarah Silverman featuring her characteristic blend of sharp social commentary and personal storytelling.
  • 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: Collecting Dust
Triple: [Paulina Gretzky, notableWork, Collecting Dust]
Generated description
"Collecting Dust" is a song by American model and singer Paulina Gretzky, known for its pop style and for being one of her most recognized musical releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Collecting Dust
Target entity description: "Collecting Dust" is a song by American model and singer Paulina Gretzky, known for its pop style and for being one of her most recognized musical releases.
  • A. Cities in Dust
    "Cities in Dust" is a 1985 post-punk/new wave song by Siouxsie and the Banshees, known for its vivid, apocalyptic imagery inspired by the destruction of Pompeii.
  • B. Dry Diggings
    Dry Diggings was the early Gold Rush–era mining camp that later became the city of Placerville, California.
  • C. Dust
    Dust was an early 1970s American hard rock and proto–heavy metal band known for featuring future Ramones drummer Marky Ramone (then Marc Bell).
  • D. Dust
    "Dust" is a song featured in the 1938 Gene Autry Western musical film *Under Western Stars*.
  • E. A Speck of Dust
    A Speck of Dust is a stand-up comedy special by Sarah Silverman featuring her characteristic blend of sharp social commentary and personal storytelling.
  • 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_69bd43f6a1e08190bf0a372bfc336ee5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd663512d0819099064903613108d9 completed March 20, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69be43fc9e448190b9bfd2ff59ab4146 completed March 21, 2026, 7:08 a.m.
NEDg Description generation batch_69be447c21d48190ab57c8761e733ff4 completed March 21, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_69be45f5ebec8190b62c428b465d1bd9 completed March 21, 2026, 7:17 a.m.
Created at: March 20, 2026, 1:23 p.m.