Triple

T3940507
Position Surface form Disambiguated ID Type / Status
Subject T. H. White E92021 entity
Predicate influencedBy P9 FINISHED
Object Sir Thomas Malory E12364 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: Sir Thomas Malory | Statement: [T. H. White, influencedBy, Sir Thomas Malory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sir Thomas Malory
Context triple: [T. H. White, influencedBy, Sir Thomas Malory]
  • A. Thomas Malory chosen
    Thomas Malory was a 15th-century English writer best known for compiling and authoring *Le Morte d'Arthur*, the most influential medieval collection of Arthurian legends in English.
  • B. Chrétien de Troyes
    Chrétien de Troyes was a 12th-century French poet widely regarded as a founding figure of Arthurian romance literature, known for shaping key legends of King Arthur and his knights.
  • C. John Lydgate
    John Lydgate was a prolific 15th-century English monk and poet known for his lengthy narrative and allegorical works that helped shape late medieval English literature.
  • D. Goodwin Knight
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • E. John Gower
    John Gower was a 14th-century English poet known for his major works in multiple languages, including Middle English, Latin, and Anglo-Norman, and for being a contemporary and friend of Geoffrey Chaucer.
  • 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_69aed965502c8190904ebad1203a4ae8 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeedfc88e4819084adefb695b975c5 completed March 9, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52894cb94819099d023745fcaebbc completed March 14, 2026, 9:21 a.m.
Created at: March 9, 2026, 3:24 p.m.