Triple

T13829734
Position Surface form Disambiguated ID Type / Status
Subject Drink, Smoke + Fuck E332357 entity
Predicate hasAbbreviatedTitle P6037 FINISHED
Object Drink Smoke Fuck E332357 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: Drink Smoke Fuck | Statement: [Drink, Smoke + Fuck, hasAbbreviatedTitle, Drink Smoke Fuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drink Smoke Fuck
Context triple: [Drink, Smoke + Fuck, hasAbbreviatedTitle, Drink Smoke Fuck]
  • A. "Drink, Smoke + Fuck" chosen
    "Drink, Smoke + Fuck" is a track by the experimental hip-hop group Death Grips, known for its abrasive sound and provocative lyrics.
  • B. Smoke
    Smoke is a large-scale modern sculpture by American artist Tony Smith, renowned for its monumental geometric form and prominent installation at the Los Angeles County Museum of Art.
  • C. Smoke
    "Smoke" is a notable single by the German Eurodance group Jaguar II, recognized within their discography as one of their standout tracks.
  • D. Smoke
    Smoke is the popular nickname of Tony Stewart, a three-time NASCAR Cup Series champion and prominent American stock car racing driver and team owner.
  • E. Smoke
    Smoke is a 1995 independent film directed by Wayne Wang and written by Paul Auster, known for its interwoven, character-driven stories set around a Brooklyn cigar shop.
  • 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_69d81c5ae7c88190b0dd41bdafeb5999 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02970df88190a1bf35dffd131d9d completed April 14, 2026, 9:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8ebf2608190b1071ee6967fa8d3 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:13 p.m.