Triple

T19755257
Position Surface form Disambiguated ID Type / Status
Subject William Gibson E474484 entity
Predicate notableWork P4 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: [William Gibson, notableWork, All Tomorrow’s Parties]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All Tomorrow’s Parties
Context triple: [William Gibson, notableWork, 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. Party in the Dark
    "Party in the Dark" is a melodic, shoegaze-tinged rock song by Scottish post-rock band Mogwai.
  • C. 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.
  • D. Today Not Tomorrow
    Today Not Tomorrow is the motto of the Canadian Army Reserve armoured regiment known as the 1st Hussars.
  • E. Last Party
    "Last Party" is a song by British singer-songwriter Mika from his album "No Place in Heaven."
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529dada081909c5b4d65247c6032 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.