Triple

T10138977
Position Surface form Disambiguated ID Type / Status
Subject Diphilus E226931 entity
Predicate hasWork P6260 FINISHED
Object The Beggar E843403 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 Beggar | Statement: [Diphilus, hasWork, The Beggar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Beggar
Context triple: [Diphilus, hasWork, The Beggar]
  • A. The Beggar chosen
    The Beggar is a lost comedic play by the ancient Greek playwright Philemon, known only through later references and fragments.
  • 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 Young Beggar
    The Young Beggar is a famous 17th-century genre painting by Spanish Baroque artist Bartolomé Esteban Murillo depicting a ragged street boy engaged in everyday life.
  • D. Beggar on Horseback
    Beggar on Horseback is a satirical play co-written by George S. Kaufman and Marc Connelly that critiques materialism and the commercialization of art through a surreal, dreamlike narrative.
  • E. A Handy Guide for Beggars
    A Handy Guide for Beggars is a prose work by American poet Vachel Lindsay that blends travel narrative, social commentary, and poetic sensibility drawn from his experiences wandering and performing across the United States.
  • 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_69ca8433ec308190b8b25a6fe359c34c completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cde8851844819092330e74561b7e34 completed April 2, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d300833e848190affe123d0286db56 completed April 6, 2026, 12:38 a.m.
Created at: March 30, 2026, 9:06 p.m.