Triple

T11757743
Position Surface form Disambiguated ID Type / Status
Subject Sage E279567 entity
Predicate contrastWith P278 FINISHED
Object Snow
Snow is frozen atmospheric precipitation in the form of ice crystals that accumulate on the ground, often creating white, wintry landscapes.
 E943627 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: [Sage, contrastWith, Snow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Snow
Context triple: [Sage, contrastWith, 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 notable abstract painting by British artist Howard Hodgkin, recognized for its expressive brushwork and evocative use of color to suggest memory and atmosphere.
  • C. Snow
    Snow is a common English surname borne by various notable figures in literature, science, and public life.
  • D. Snow
    "Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
  • E. Snow
    "Snow" is a festive song from the 1954 musical film *White Christmas*, celebrated for its nostalgic lyrics about the beauty and romance of wintertime snowfall.
  • 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: [Sage, contrastWith, Snow]
Generated description
Snow is frozen atmospheric precipitation in the form of ice crystals that accumulate on the ground, often creating white, wintry landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Snow
Target entity description: Snow is frozen atmospheric precipitation in the form of ice crystals that accumulate on the ground, often creating white, wintry landscapes.
  • A. Snow
    "Snow" is a festive song from the 1954 musical film *White Christmas*, celebrated for its nostalgic lyrics about the beauty and romance of wintertime snowfall.
  • 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. Snow
    "Snow" is a song featured on the album *Back to Scratch* by Welsh singer-songwriter Charlotte Church.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a5220f148190ae60d1941a579ab6 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a2f0a848190944ba2688c6d7ad2 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05af9ce808190bc6c1ec2cb9903f9 completed April 28, 2026, 7 a.m.
Created at: April 8, 2026, 9:41 p.m.