Triple

T14623559
Position Surface form Disambiguated ID Type / Status
Subject Christmas in the Sand E343283 entity
Predicate hasTrack P3284 FINISHED
Object Winter Wonderland E1060415 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: Winter Wonderland | Statement: [Christmas in the Sand, hasTrack, Winter Wonderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winter Wonderland
Context triple: [Christmas in the Sand, hasTrack, Winter Wonderland]
  • A. Winter Wonderland chosen
    "Winter Wonderland" is a classic Christmas song frequently covered by artists and featured on holiday albums.
  • B. Winter Loversland
    Winter Loversland is a Christmas-themed studio album by American R&B singer Tamar Braxton, featuring contemporary renditions of holiday classics and original festive songs.
  • C. Snow Wonder
    Snow Wonder is a 2005 made-for-television holiday drama film that intertwines multiple characters' lives during a Christmas Eve snowstorm.
  • D. Snowfest
    Snowfest is an annual winter festival in Frankenmuth, Michigan, best known for its large-scale snow and ice sculpting competitions and family-friendly seasonal activities.
  • E. Winter Magic
    Winter Magic was the themed halftime show for Super Bowl XXVI, featuring a large-scale, family-friendly spectacle with music, dance, and winter-inspired pageantry.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb468acc4819083b7e818d5cec809 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda9288e748190bf65a01803265a73 completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.