Triple

T10782042
Position Surface form Disambiguated ID Type / Status
Subject Charlotte Mineau E254343 entity
Predicate notable work P4 FINISHED
Object The Pawnshop E460396 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 Pawnshop | Statement: [Charlotte Mineau, notable work, The Pawnshop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pawnshop
Context triple: [Charlotte Mineau, notable work, The Pawnshop]
  • A. The Pawnshop chosen
    The Pawnshop is a creative work associated with Leo White, likely a film or theatrical production in which he was prominently involved.
  • B. Bad Penny
    "Bad Penny" is a song by the American noise rock band Big Black, featured on their influential 1987 album *Songs About Fucking*.
  • C. The Horseshoe
    The Horseshoe is the iconic, horseshoe-shaped football stadium at The Ohio State University, officially known as Ohio Stadium.
  • D. 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.
  • E. The Curious Bank
    The Curious Bank is the marketing slogan used by Fifth Third Bank to convey its distinctive, inquisitive approach to banking and customer service.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732c5618081908f72838ed42ed05c completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de55fbfc70819098eb40cf0d1b9e8c completed April 14, 2026, 2:58 p.m.
Created at: April 8, 2026, 9:17 p.m.