Triple

T21250052
Position Surface form Disambiguated ID Type / Status
Subject Le Mauvais Vitrier E523718 entity
Predicate hasTitleInEnglish P3437 FINISHED
Object The Poor Glazier 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: The Poor Glazier | Statement: [Le Mauvais Vitrier, hasTitleInEnglish, The Poor Glazier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Poor Glazier
Context triple: [Le Mauvais Vitrier, hasTitleInEnglish, The Poor Glazier]
  • A. The Bad Glazier chosen
    The Bad Glazier is a short philosophical tale by Charles Baudelaire that uses the encounter with an inept glass-seller to explore themes of boredom, cruelty, and the artist’s destructive impulses.
  • B. The Beggar
    The Beggar is a track from Mos Def’s genre-blending hip-hop album *The New Danger*, known for its gritty, socially conscious lyricism.
  • C. The Beggar
    The Beggar is a lost comedic play by the ancient Greek playwright Philemon, known only through later references and fragments.
  • D. The Cobbler
    The Cobbler is a genre painting by Dutch Golden Age artist Abraham Bloemaert, depicting a humble shoemaker at work in a detailed, everyday interior scene.
  • E. The Cobbler
    The Cobbler is a 2014 fantasy-comedy film starring Adam Sandler as a shoe repairman who discovers a magical heirloom that allows him to literally step into his customers’ lives.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359da6e08190a96c471463c2388d completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.