Triple

T1015403
Position Surface form Disambiguated ID Type / Status
Subject Lorenzo Valla E21918 entity
Predicate familyName P18 FINISHED
Object Valla
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
 E121046 NE FINISHED

How this triple was built (4 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: Valla | Statement: [Lorenzo Valla, familyName, Valla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Valla
Context triple: [Lorenzo Valla, familyName, Valla]
  • A. Veneti
    The Veneti were an ancient people of northeastern Italy, known from Roman sources for their distinct language, culture, and interactions with neighboring Celtic and Italic groups.
  • B. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • E. Barbeya
    Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Valla
Triple: [Lorenzo Valla, familyName, Valla]
Generated description
Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Valla
Target entity description: Valla is an Italian surname most famously associated with Renaissance humanist and philologist Lorenzo Valla.
  • A. Veneti
    The Veneti were an ancient people of northeastern Italy, known from Roman sources for their distinct language, culture, and interactions with neighboring Celtic and Italic groups.
  • B. Selasca
    Selasca is a small locality in northern Italy notable as the place where the mathematician Bernhard Riemann died.
  • C. Quarracino
    Quarracino is an Italian-origin surname most notably associated with Argentine Cardinal Antonio Quarracino.
  • D. Vivarais
    Vivarais is a historical region in south-central France, known for its rugged landscapes, part of the broader Massif Central, and its traditional rural culture.
  • E. Barbeya
    Barbeya is a monotypic genus of flowering plants comprising a single tree species native to arid regions of East Africa and the Arabian Peninsula.
  • F. None of above. chosen

Provenance (5 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7c05060819083c51717874074c8 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3baf80348190b6909cbd1fd40cb4 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3cb90e80819099cf5e0a795b0c6a completed March 7, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_69ac3d0fcdb88190b4c5e5ddf41e2716 completed March 7, 2026, 2:58 p.m.
Created at: March 1, 2026, 7:41 p.m.