Triple

T10422640
Position Surface form Disambiguated ID Type / Status
Subject Thomas Prence E245695 entity
Predicate familyName P18 FINISHED
Object Prence
Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
E862484 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: Prence | Statement: [Thomas Prence, familyName, Prence]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prence
Context triple: [Thomas Prence, familyName, Prence]
  • A. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • B. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • C. 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.
  • D. Le Prince
    Le Prince is a French surname most notably associated with Jean-Baptiste Le Prince, an 18th-century painter and etcher known for his scenes inspired by travels in Russia.
  • E. Prince of Kang
    The Prince of Kang was a noble title in the Song dynasty held by Zhao Gou before he ascended the throne as Emperor Gaozong of Song.
  • 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: Prence
Triple: [Thomas Prence, familyName, Prence]
Generated description
Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prence
Target entity description: Prence is an English surname most notably associated with Thomas Prence, a colonial governor of Plymouth Colony in the 17th century.
  • A. Prinze
    Prinze is the surname of American actor Freddie Prinze Jr., associated with a family of entertainers in film and television.
  • B. Prinz
    Prinz is a German surname borne by various notable individuals, including figures in politics, religion, and the arts.
  • C. 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.
  • D. Le Prince
    Le Prince is a French surname most notably associated with Jean-Baptiste Le Prince, an 18th-century painter and etcher known for his scenes inspired by travels in Russia.
  • E. Prince of Kang
    The Prince of Kang was a noble title in the Song dynasty held by Zhao Gou before he ascended the throne as Emperor Gaozong of Song.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea2cd0788190b904ccdc251a9b7a completed April 7, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2160208190b6384190d9537df4 completed April 9, 2026, 7:21 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859fd8f0c8190b0fec880e1180e50 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:12 p.m.