Triple

T7902207
Position Surface form Disambiguated ID Type / Status
Subject Back to Scratch E183478 entity
Predicate trackListingIncludes P66182 FINISHED
Object Snow
"Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
 E700530 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: Snow | Statement: [Back to Scratch, trackListingIncludes, Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snow
Context triple: [Back to Scratch, trackListingIncludes, Snow]
  • A. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • B. Snow
    Snow is a white color variant of the iMac G3, known for its clean, minimalist appearance among the line’s iconic translucent and colorful designs.
  • C. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • D. Snow
    "Snow" is a notable abstract painting by British artist Howard Hodgkin, recognized for its expressive brushwork and evocative use of color to suggest memory and atmosphere.
  • E. Snowy
    Snowy is Tintin’s loyal white Wire Fox Terrier companion, known for his bravery, wit, and occasional fondness for whiskey in the comic series "The Adventures of Tintin."
  • 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: Snow
Triple: [Back to Scratch, trackListingIncludes, Snow]
Generated description
"Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snow
Target entity description: "Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
  • A. Snow
    "Snow" is a political and philosophical novel by Turkish Nobel laureate Orhan Pamuk that explores identity, secularism, and Islamism in contemporary Turkey.
  • B. Snow
    Snow is a white color variant of the iMac G3, known for its clean, minimalist appearance among the line’s iconic translucent and colorful designs.
  • C. Snow
    "Snow" is a notable abstract painting by British artist Howard Hodgkin, recognized for its expressive brushwork and evocative use of color to suggest memory and atmosphere.
  • D. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • E. Snowy
    Snowy is Tintin’s loyal white Wire Fox Terrier companion, known for his bravery, wit, and occasional fondness for whiskey in the comic series "The Adventures of Tintin."
  • 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_69ca828d13088190b222be7aa9f9315c completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a40a0508190864479c2c41b12cb completed March 31, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bbd93348190883c6152f18f8214 completed March 31, 2026, 5:29 a.m.
NEDg Description generation batch_69cb7632cbbc819087107c8d2172a038 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb64eee408190a66cbd0cba3054b4 completed March 31, 2026, 11:55 a.m.
Created at: March 30, 2026, 5:02 p.m.