Triple

T6103544
Position Surface form Disambiguated ID Type / Status
Subject Anna Kendrick E136061 entity
Predicate notableWork P4 FINISHED
Object Happy Christmas E544343 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: Happy Christmas | Statement: [Anna Kendrick, notableWork, Happy Christmas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happy Christmas
Context triple: [Anna Kendrick, notableWork, Happy Christmas]
  • A. Happy Christmas chosen
    Happy Christmas is a 2014 American indie dramedy film written and directed by Joe Swanberg, known for its naturalistic dialogue and exploration of family dynamics and personal responsibility.
  • B. Merry Christmas
    Merry Christmas is Mariah Carey's 1994 holiday studio album that popularized modern Christmas pop classics.
  • C. This Christmas
    "This Christmas" is a 2007 ensemble holiday comedy-drama film centered on a family's eventful Christmas reunion, featuring an all-star cast including Idris Elba, Regina King, and Chris Brown.
  • D. Happy New Year
    "Happy New Year" is a song featured on the album *Rebel Soul*, known for its celebratory, reflective New Year’s theme.
  • E. Happy New Year
    Happy New Year is a 1987 American crime-comedy film about a pair of jewel thieves planning a heist, directed by John G. Avildsen.
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b3dbc6c8190b9e3d81e6ca9eeb8 completed March 22, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12553f1d4819096de40514ef4d2cb completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:13 p.m.