Triple

T16252838
Position Surface form Disambiguated ID Type / Status
Subject Roger Príncep E394553 entity
Predicate hasFamilyName P18 FINISHED
Object Príncep
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
 E1202952 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: Príncep | Statement: [Roger Príncep, hasFamilyName, Príncep]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Príncep
Context triple: [Roger Príncep, hasFamilyName, Príncep]
  • A. Príncipe
    Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
  • B. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • C. Prence
    Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
  • D. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • E. Fürst
    Fürst is a German noble title historically ranking below a duke and above a count, often translated as "prince" in English.
  • 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: Príncep
Triple: [Roger Príncep, hasFamilyName, Príncep]
Generated description
Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Príncep
Target entity description: Príncep is the surname of Spanish actor Roger Príncep, known for his role in the film "The Orphanage."
  • A. Príncipe
    Príncipe is the smaller, less-populated island of the Central African island nation of São Tomé and Príncipe, known for its lush rainforests, biodiversity, and status as a UNESCO Biosphere Reserve.
  • B. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • C. Prence
    Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
  • D. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • E. Fürst
    Fürst is a German noble title historically ranking below a duke and above a count, often translated as "prince" in English.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24597b74481908fdb8175628a57a1 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee788f88190b16d267f1eee6d62 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00113900c88190bf7f56ca4b16a84c completed May 10, 2026, 5:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0011d98f708190805c84d63ed79aaa completed May 10, 2026, 5:04 a.m.
Created at: April 10, 2026, 5:04 a.m.