Triple

T10010079
Position Surface form Disambiguated ID Type / Status
Subject Anne Murray E198348 entity
Predicate notableAlbum P4 FINISHED
Object Snowbird E835416 NE FINISHED

How this triple was built (2 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: Snowbird | Statement: [Anne Murray, notableAlbum, Snowbird]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snowbird
Context triple: [Anne Murray, notableAlbum, Snowbird]
  • A. Snowbird chosen
    "Snowbird" is a popular 1969 country-pop song, best known as the breakthrough hit that launched Canadian singer Anne Murray to international fame.
  • B. Snowbird
    Snowbird is a major ski and snowboard resort in Utah known for its steep terrain, deep powder, and long winter season.
  • C. Snowbird Center
    Snowbird Center is a central lodge and services hub at the Snowbird ski and summer resort in Utah, offering guest amenities, dining, and access to mountain activities.
  • D. The Slopes
    The Slopes is a historic landscaped park in Buxton, Derbyshire, known for its terraced walks, ornamental gardens, and views over the town’s spa architecture.
  • E. Snow Wonder
    Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd39e074819097f77a4d4bf7856e completed April 2, 2026, 1:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28211c2448190897fd4078a266154 completed April 5, 2026, 3:38 p.m.
Created at: March 30, 2026, 8:52 p.m.