Triple

T6218974
Position Surface form Disambiguated ID Type / Status
Subject Elliott Smith E139062 entity
Predicate nominatedForWork P6104 FINISHED
Object Miss Misery E578679 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: Miss Misery | Statement: [Elliott Smith, nominatedForWork, Miss Misery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Misery
Context triple: [Elliott Smith, nominatedForWork, Miss Misery]
  • A. Miss Misery chosen
    "Miss Misery" is a melancholic indie folk song by singer-songwriter Elliott Smith, best known for its appearance in the film *Good Will Hunting* and its nomination for the Academy Award for Best Original Song.
  • B. Pretty Noose
    "Pretty Noose" is a 1996 grunge/alternative rock song by Soundgarden, released as a single from their album "Down on the Upside."
  • C. Miss Kittin
    Miss Kittin is a French DJ, producer, and singer known for her influential role in the electroclash and techno scenes, particularly through her distinctive deadpan vocal style and club anthems.
  • D. Misery Business
    "Misery Business" is a breakthrough pop-punk/emo song by American rock band Paramore, widely recognized for propelling them to mainstream popularity in the late 2000s.
  • E. Miss Overmore
    Miss Overmore is a governess and one of the key adult figures in Henry James’s novel "What Maisie Knew," embodying the complex moral ambiguities surrounding the child protagonist.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a481908190a1418d9fcfaf8137 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c243e998e0819090a2162e2a0ab7b9 completed March 24, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:21 p.m.