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.