Triple

T22001601
Position Surface form Disambiguated ID Type / Status
Subject Alexi Murdoch E543337 entity
Predicate songUsedIn P69477 FINISHED
Object Garden State 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: Garden State | Statement: [Alexi Murdoch, songUsedIn, Garden State]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garden State
Context triple: [Alexi Murdoch, songUsedIn, Garden State]
  • A. Garden State chosen
    Garden State is a 2004 indie romantic dramedy film written and directed by Zach Braff, known for its offbeat humor, introspective tone, and influential indie rock soundtrack.
  • B. Garden State
    Garden State is a coming-of-age novel by American writer Rick Moody that explores the turbulent lives of suburban New Jersey youth in the early 1980s.
  • C. Elizabethtown
    Elizabethtown is a historic colonial-era settlement that served as an early political and economic center in what is now the state of New Jersey.
  • D. Elizabethtown
    Elizabethtown is the former name of Elizabeth City, a historic riverfront city in northeastern North Carolina known as a regional hub for the Albemarle area.
  • E. Elizabethtown
    Elizabethtown is a small city in central Kentucky known for its Civil War history, regional museums, and role as a commercial hub for the surrounding area.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276ae4e0819097bf1b978451f776 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.