Triple

T5752774
Position Surface form Disambiguated ID Type / Status
Subject Joe Swanberg E126890 entity
Predicate notableWork P4 FINISHED
Object Nights and Weekends E130859 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: Nights and Weekends | Statement: [Joe Swanberg, notableWork, Nights and Weekends]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nights and Weekends
Context triple: [Joe Swanberg, notableWork, Nights and Weekends]
  • A. Nights and Weekends chosen
    "Nights and Weekends" is a 2008 independent drama film co-directed by and starring Greta Gerwig that explores the emotional complexities of a long-distance relationship.
  • B. Day 'n' Nite
    "Day 'n' Nite" is a breakthrough hip-hop single by Kid Cudi that blends introspective lyrics with atmospheric production and helped launch him to mainstream prominence.
  • C. Weekend
    Weekend is a 1967 French black comedy and satirical road movie by Jean-Luc Godard, renowned for its anarchic style, long tracking shots, and scathing critique of consumerism and bourgeois society.
  • D. Another Night
    "Another Night" is a song featured on the album "What About Me."
  • E. Tonight and Every Night
    Tonight and Every Night is a 1945 Technicolor musical film starring Rita Hayworth, set in wartime London and loosely inspired by the real-life Windmill Theatre.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e3e71988190a938a6d175023028 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:48 p.m.