Triple

T12564430
Position Surface form Disambiguated ID Type / Status
Subject Bernardo Morando E295430 entity
Predicate familyName P18 FINISHED
Object Morando
Morando is an Italian surname most notably borne by Bernardo Morando, a Renaissance architect active in Poland.
 E991647 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: Morando | Statement: [Bernardo Morando, familyName, Morando]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Morando
Context triple: [Bernardo Morando, familyName, Morando]
  • A. Morais
    Morais is the family name of Brazilian football legend Cafu, renowned as one of the greatest right-backs in the history of the sport.
  • B. Suburra
    Suburra is a 2015 Italian crime film that explores the violent intersection of politics, organized crime, and real estate corruption in Rome.
  • C. Menendo
    Menendo is a medieval Iberian given name of likely Germanic origin that served as the root for the patronymic surname Menéndez.
  • D. Mirado
    Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
  • E. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • 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: Morando
Triple: [Bernardo Morando, familyName, Morando]
Generated description
Morando is an Italian surname most notably borne by Bernardo Morando, a Renaissance architect active in Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Morando
Target entity description: Morando is an Italian surname most notably borne by Bernardo Morando, a Renaissance architect active in Poland.
  • A. Morais
    Morais is the family name of Brazilian football legend Cafu, renowned as one of the greatest right-backs in the history of the sport.
  • B. Suburra
    Suburra is a 2015 Italian crime film that explores the violent intersection of politics, organized crime, and real estate corruption in Rome.
  • C. Menendo
    Menendo is a medieval Iberian given name of likely Germanic origin that served as the root for the patronymic surname Menéndez.
  • D. Mirado
    Mirado is a line of wooden pencils produced under the Paper Mate brand, known for their smooth writing and reliability.
  • E. Murlo
    Murlo is a small historic municipality in Tuscany, Italy, known for its Etruscan archaeological heritage and picturesque rural landscape.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9549611c081909e611756f3cce7f0 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558f87b081909ba179b49bae3913 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f656a6dafc81908acf59c0ba65189a completed May 2, 2026, 7:55 p.m.
NED2 Entity disambiguation (via description) batch_69f65b4d109c8190b48c71f664e7bb3f completed May 2, 2026, 8:15 p.m.
Created at: April 8, 2026, 11:49 p.m.