Triple

T16427539
Position Surface form Disambiguated ID Type / Status
Subject Siger of Brabant E398981 entity
Predicate influenced P9 FINISHED
Object Dante Alighieri E23304 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: Dante Alighieri | Statement: [Siger of Brabant, influenced, Dante Alighieri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dante Alighieri
Context triple: [Siger of Brabant, influenced, Dante Alighieri]
  • A. Dante Alighieri chosen
    Dante Alighieri was a medieval Italian poet, writer, and philosopher best known for his epic poem "The Divine Comedy," a cornerstone of world literature and a foundational work of the Italian language.
  • B. Guido Cavalcanti
    Guido Cavalcanti was a 13th-century Italian poet of the Dolce Stil Novo movement, renowned for his philosophical and often melancholic love poetry and for his close association with Dante Alighieri.
  • C. Dante
    Dante is the loyal, goofy Xoloitzcuintli dog who accompanies Miguel on his journey through the Land of the Dead in Pixar’s animated film "Coco."
  • D. Dante
    Dante is a character from the television series "The Wire," known as Omar Little’s boyfriend and a member of his stickup crew in Baltimore’s criminal underworld.
  • E. Dante
    Dante Fascell was a long-serving American Democratic politician from Florida who represented the Miami area in the U.S. House of Representatives and played a key role in foreign affairs legislation.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e328fc223c8190bbed29907351a6f6 completed April 18, 2026, 6:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458331748190a4bd1c5d2d466e6d completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.