Triple

T10956734
Position Surface form Disambiguated ID Type / Status
Subject Before This World E258863 entity
Predicate hasPart P35 FINISHED
Object SnowTime
SnowTime is a track from James Taylor’s 2015 studio album "Before This World," showcasing his reflective songwriting and mellow folk-rock style.
 E894630 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: SnowTime | Statement: [Before This World, hasPart, SnowTime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SnowTime
Context triple: [Before This World, hasPart, SnowTime]
  • A. Snow Wonder
    Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
  • B. Snowshoe
    Snowshoe is a mountain resort community in West Virginia best known for its popular ski area and year-round outdoor recreation.
  • C. Carmel White Snow
    Carmel White Snow was a prominent Irish-American magazine editor best known for her influential tenure as editor-in-chief of Harper’s Bazaar in the mid-20th century.
  • D. Snowfall
    Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
  • E. Thunder Snow
    Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
  • 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: SnowTime
Triple: [Before This World, hasPart, SnowTime]
Generated description
SnowTime is a track from James Taylor’s 2015 studio album "Before This World," showcasing his reflective songwriting and mellow folk-rock style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SnowTime
Target entity description: SnowTime is a track from James Taylor’s 2015 studio album "Before This World," showcasing his reflective songwriting and mellow folk-rock style.
  • A. Snow Wonder
    Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
  • B. Snowshoe
    Snowshoe is a mountain resort community in West Virginia best known for its popular ski area and year-round outdoor recreation.
  • C. Carmel White Snow
    Carmel White Snow was a prominent Irish-American magazine editor best known for her influential tenure as editor-in-chief of Harper’s Bazaar in the mid-20th century.
  • D. Snowfall
    Snowfall is an American crime drama television series that explores the early days of the crack cocaine epidemic in 1980s Los Angeles.
  • E. Thunder Snow
    Thunder Snow is a prominent Irish-bred Thoroughbred racehorse best known for winning back-to-back Dubai World Cups in 2018 and 2019.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771260e9881909401a7a7466e1b8a completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c72196c8190b2336a130b64ab8e completed April 17, 2026, 1:58 p.m.
NEDg Description generation batch_69e2454473f48190bfd44d0d0f48bc60 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e245f3c9988190a74ddd330621f7e1 completed April 17, 2026, 2:38 p.m.
Created at: April 8, 2026, 9:23 p.m.