Triple

T20029354
Position Surface form Disambiguated ID Type / Status
Subject Happythankyoumoreplease E495079 entity
Predicate title P38 FINISHED
Object Happythankyoumoreplease 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: Happythankyoumoreplease | Statement: [Happythankyoumoreplease, title, Happythankyoumoreplease]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Happythankyoumoreplease
Context triple: [Happythankyoumoreplease, title, Happythankyoumoreplease]
  • A. Happythankyoumoreplease chosen
    Happythankyoumoreplease is a 2010 independent comedy-drama film written and directed by Josh Radnor that follows a group of young New Yorkers navigating love, friendship, and adulthood.
  • B. Happy Heart
    "Happy Heart" is a popular easy-listening song recorded by American singer Andy Williams that became one of his signature hits in the late 1960s.
  • C. Happy Now
    "Happy Now" is a song by the American rock band Progress, released as one of their singles.
  • D. Thank You a Lot
    "Thank You a Lot" is an independent drama film centered on a struggling music manager in Austin, Texas, known for its intimate portrayal of family, ambition, and the local music scene.
  • E. Happy to Give
    "Happy to Give" is a song featured on Journey's 1986 album "Raised on Radio."
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662908df081909a6c8ccf0dd90fff completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:36 p.m.