Triple

T23179516
Position Surface form Disambiguated ID Type / Status
Subject Christmas with Babyface E579113 entity
Predicate hasTrack P3284 FINISHED
Object Winter Wonderland NE NERFINISHED

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 with Babyface, hasTrack, Winter Wonderland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winter Wonderland
Context triple: [Christmas with Babyface, 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 (2 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_69e245fd2a388190b814c0dfa15f7148 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6dad948190a64f80f2c9e8e4cb completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:04 p.m.