Triple

T3972174
Position Surface form Disambiguated ID Type / Status
Subject Beck E92359 entity
Predicate notableWork P4 FINISHED
Object Loser E343264 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: Loser | Statement: [Beck, notableWork, Loser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loser
Context triple: [Beck, notableWork, Loser]
  • A. Loser chosen
    "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.
  • B. Beautiful Losers
    Beautiful Losers is a 1966 experimental novel by Leonard Cohen, known for its avant-garde style, eroticism, and exploration of religion, politics, and identity in Canadian culture.
  • C. Love Is for Losers
    Love Is for Losers is the debut studio album by punk rock band The Longshot, a side project of Green Day frontman Billie Joe Armstrong.
  • D. The Losers
    The Losers is a 2010 action film based on the DC/Vertigo comic series, following a betrayed elite black-ops team seeking revenge against the handler who tried to have them killed.
  • E. Troublemaker
    Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef996ff6c8190ba8cc490e4744b95 completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400fa9ac8190adf70a4c49eac32c completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.