Triple

T23075050
Position Surface form Disambiguated ID Type / Status
Subject The Beloved Rogue E575304 entity
Predicate subject P450 FINISHED
Object François Villon 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: François Villon | Statement: [The Beloved Rogue, subject, François Villon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: François Villon
Context triple: [The Beloved Rogue, subject, François Villon]
  • A. François Villon chosen
    François Villon was a 15th-century French poet and vagabond renowned for his lyrical, often darkly humorous verse and his tumultuous, criminally tinged life.
  • B. Pierre Villon
    Pierre Villon was a French communist resistance leader and politician who played a key role in the French Resistance during World War II.
  • C. Villon
    Villon is a poem by modernist British poet Basil Bunting, reflecting his characteristic musical language and dense, allusive style.
  • D. Jean Marot
    Jean Marot was a French poet of the late 15th and early 16th centuries, known for his courtly verse and as the father of the Renaissance poet Clément Marot.
  • E. Clément Marot
    Clément Marot was a prominent 16th-century French poet whose elegant verse helped shape Renaissance French literature and courtly poetry.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c62c200819099c92654493288ad completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.