Triple

T20978635
Position Surface form Disambiguated ID Type / Status
Subject La Mort E516691 entity
Predicate relatedWork P37 FINISHED
Object La Révolte 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: La Révolte | Statement: [La Mort, relatedWork, La Révolte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: La Révolte
Context triple: [La Mort, relatedWork, La Révolte]
  • A. Révolte chosen
    Révolte is a section of Charles Baudelaire’s poetry collection *Les Fleurs du mal* that explores themes of rebellion, blasphemy, and defiance against divine and moral authority.
  • B. The Rebellion
    The Rebellion is an organized supporters’ group known for passionately backing the New England Revolution Major League Soccer team.
  • C. Points of Rebellion
    Points of Rebellion is a 1969 book by U.S. Supreme Court Justice William O. Douglas that critiques social and political injustices in America and warns of rising civil unrest if reforms are not made.
  • D. The Uprising
    The Uprising is a song by the artist Prince Ali.
  • E. The Uprising
    The Uprising is a politically charged painting by French artist Honoré Daumier that powerfully depicts the fervor and tension of popular revolt in 19th-century France.
  • 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_69e0b4fee5ac8190875fa9ceba1a5e5e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fba65b0881908bc00981053edb68 completed April 21, 2026, 4:23 a.m.
Created at: April 16, 2026, 1:47 p.m.