Triple

T20267969
Position Surface form Disambiguated ID Type / Status
Subject Loser (song) E499016 entity
Predicate hasMusicVideo P3287 FINISHED
Object Loser (music video) 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: Loser (music video) | Statement: [Loser (song), hasMusicVideo, Loser (music video)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loser (music video)
Context triple: [Loser (song), hasMusicVideo, Loser (music video)]
  • A. Loser
    "Loser" is a 2000 romantic comedy film starring Jason Biggs as a socially awkward college student navigating love and friendship in New York City.
  • B. Loser chosen
    "Loser" is a breakthrough 1993 alternative rock single by Beck that blends folk, hip hop, and lo-fi elements and became his first major hit.
  • C. Loser
    "Loser" is a rock song by American band 3 Doors Down, released as a single from their debut album "The Better Life" and known for its dark, introspective lyrics and strong chart performance.
  • D. Loser
    "Loser" is a pop song by American singer-songwriter Charlie Puth, known for its catchy melody and emotionally vulnerable lyrics about heartbreak and regret.
  • E. "The Loser"
    "The Loser" is a humorous, ironic poem by Shel Silverstein from his children's poetry collection *A Light in the Attic*, exploring themes of identity and self-perception.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e675dbb7ac8190a40c527f2c02ca50 completed April 20, 2026, 6:52 p.m.
Created at: April 11, 2026, 11:42 p.m.