Triple

T20632840
Position Surface form Disambiguated ID Type / Status
Subject Marco Perego-Saldaña E507000 entity
Predicate familyName P18 FINISHED
Object Perego-Saldaña
Perego-Saldaña is the hyphenated surname of Italian artist and filmmaker Marco Perego-Saldaña, who is also known as the husband of actress Zoe Saldaña.
 E1441600 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: Perego-Saldaña | Statement: [Marco Perego-Saldaña, familyName, Perego-Saldaña]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Perego-Saldaña
Context triple: [Marco Perego-Saldaña, familyName, Perego-Saldaña]
  • A. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Hernán-Pérez
    Hernán-Pérez is a small rural municipality in the Sierra de Gata region of Cáceres, Extremadura, Spain.
  • E. Valladares
    Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
  • 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: Perego-Saldaña
Triple: [Marco Perego-Saldaña, familyName, Perego-Saldaña]
Generated description
Perego-Saldaña is the hyphenated surname of Italian artist and filmmaker Marco Perego-Saldaña, who is also known as the husband of actress Zoe Saldaña.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Perego-Saldaña
Target entity description: Perego-Saldaña is the hyphenated surname of Italian artist and filmmaker Marco Perego-Saldaña, who is also known as the husband of actress Zoe Saldaña.
  • A. Echeandía
    Echeandía is a small town in central Ecuador known for its agricultural activities and rural Andean setting.
  • B. Zorreguieta
    Zorreguieta is an Argentine family name best known as the maiden surname of Queen Máxima of the Netherlands.
  • C. Montúfar
    Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
  • D. Hernán-Pérez
    Hernán-Pérez is a small rural municipality in the Sierra de Gata region of Cáceres, Extremadura, Spain.
  • E. Valladares
    Valladares is a Spanish surname historically associated with nobility and notable figures such as colonial administrators and politicians.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6ad0bdcd88190a59d68e03370b271 completed April 20, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb243c348190987b852c07744034 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bdd076f08190a6663d891d503a29 completed May 16, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_6a08be4eddbc8190b02a5b8b96ee6a29 completed May 16, 2026, 6:58 p.m.
Created at: April 16, 2026, 11:42 a.m.