Triple

T23282346
Position Surface form Disambiguated ID Type / Status
Subject Yu Lik-wai E588897 entity
Predicate directed P7373 FINISHED
Object All Tomorrow’s Parties 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: All Tomorrow’s Parties | Statement: [Yu Lik-wai, directed, All Tomorrow’s Parties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Tomorrow’s Parties
Context triple: [Yu Lik-wai, directed, All Tomorrow’s Parties]
  • A. All Tomorrow’s Parties chosen
    "All Tomorrow’s Parties" is a 1966 song by the Velvet Underground, known for its haunting atmosphere, minimalist instrumentation, and Nico’s distinctive vocal performance, and is considered one of the band’s most iconic tracks.
  • B. What Tomorrow Brings
    "What Tomorrow Brings" is a song by the American punk rock band Bad Religion from their album "Age of Unreason."
  • C. Party in the Dark
    "Party in the Dark" is a melodic, shoegaze-tinged rock song by Scottish post-rock band Mogwai.
  • D. The Last Party
    The Last Party is a memoir by Adele Morales recounting her tumultuous marriage to writer Norman Mailer and the bohemian New York literary scene of the mid-20th century.
  • E. The Off Hours
    The Off Hours is an independent drama film written and directed by Megan Griffiths that follows a restless waitress in a desolate truck-stop town as she struggles to change her life.
  • 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19643b8908190a2c29552b272dc61 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:58 p.m.