Triple

T5136449
Position Surface form Disambiguated ID Type / Status
Subject Love Is for Losers E115835 entity
Predicate artist P184 FINISHED
Object The Longshot E21065 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: The Longshot | Statement: [Love Is for Losers, artist, The Longshot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Longshot
Context triple: [Love Is for Losers, artist, The Longshot]
  • A. The Longshot chosen
    The Longshot is a punk rock side project fronted by Green Day’s Billie Joe Armstrong, known for its raw, garage-influenced sound.
  • B. The Big Shot
    "The Big Shot" is a 1942 American crime film noir starring Humphrey Bogart as a three-time loser drawn into one last ill-fated heist.
  • C. Le Tote
    Le Tote is a fashion rental subscription service company that expanded into traditional retail by acquiring the historic department store chain Lord & Taylor.
  • D. The Lucky Chance
    The Lucky Chance is a Restoration comedy play by Aphra Behn that satirizes marriage, gender roles, and sexual politics in late 17th-century England.
  • E. The Lucky One
    The Lucky One is a romantic drama film based on a Nicholas Sparks novel, following a U.S. Marine who seeks out a woman he believes was his good-luck charm during the war.
  • 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd785069108190bf9cfdc7d962d43f completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec4d04b3c8190bfac5986e1bb89a5 completed March 21, 2026, 4:18 p.m.
Created at: March 20, 2026, 1:43 p.m.