Triple

T20988760
Position Surface form Disambiguated ID Type / Status
Subject William the Bad E516960 entity
Predicate alsoKnownAs P39 FINISHED
Object Guillaume le Mauvais 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: Guillaume le Mauvais | Statement: [William the Bad, alsoKnownAs, Guillaume le Mauvais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guillaume le Mauvais
Context triple: [William the Bad, alsoKnownAs, Guillaume le Mauvais]
  • A. Claude de Givray
    Claude de Givray is a French screenwriter and filmmaker known for his collaborations with François Truffaut during the French New Wave.
  • B. William II of Dampierre
    William II of Dampierre was a 13th-century nobleman who became co-ruler of Flanders and Hainaut through his marriage into the ruling Flemish dynasty.
  • C. Guillaume de Champagne
    Guillaume de Champagne was a medieval French churchman who served as Archbishop of Reims and played a significant role in the religious and political life of his time.
  • D. Peter of Dreux chosen
    Peter of Dreux was a prominent 13th-century French nobleman and military leader from the Capetian House of Dreux, known especially for his role as Duke of Brittany by marriage.
  • E. Gaston de Blondeville
    Gaston de Blondeville is a historical Gothic romance novel by Ann Radcliffe, set in medieval England and blending chivalric adventure with supernatural elements.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5208c8190b8b843b3778589d3 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.