Triple

T18188663
Position Surface form Disambiguated ID Type / Status
Subject Parlophone PMC 1240 (mono) E435477 entity
Predicate hasTrack P3284 FINISHED
Object I’m a Loser 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: I’m a Loser | Statement: [Parlophone PMC 1240 (mono), hasTrack, I’m a Loser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I’m a Loser
Context triple: [Parlophone PMC 1240 (mono), hasTrack, I’m a Loser]
  • A. I'm a Loser chosen
    "I'm a Loser" is a 1964 Beatles song, written primarily by John Lennon, that blends folk-rock influences with introspective, self-critical lyrics.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Loser
    "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.
  • 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_69d8b90c7ec081909b4694ccecb449c6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e00059d4819097f681e702fe49e6 completed April 19, 2026, 2 p.m.
Created at: April 10, 2026, 10:31 a.m.