Triple

T22148027
Position Surface form Disambiguated ID Type / Status
Subject Ben Schwartz E547340 entity
Predicate notableWork P4 FINISHED
Object The Afterparty 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: The Afterparty | Statement: [Ben Schwartz, notableWork, The Afterparty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Afterparty
Context triple: [Ben Schwartz, notableWork, The Afterparty]
  • A. The Afterparty chosen
    The Afterparty is a comedic murder-mystery television series that reimagines the same crime from different characters’ perspectives, each episode styled in a distinct film or TV genre.
  • B. The Party & The After Party
    "The Party & The After Party" is a moody, atmospheric R&B track by The Weeknd that blends dark, sensual themes with hazy production and shifting song sections.
  • C. After Party
    "After Party" is a popular trap-influenced hip-hop song by American rapper Don Toliver, known for its catchy hook and heavy presence on social media and streaming platforms.
  • D. The Night of the Party
    The Night of the Party is a 1930s British mystery film featuring actor Malcolm Keen in a prominent role.
  • E. 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.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f209688190afea1f275c922c73 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.