Triple
T6160299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duke Michael of Strelsau |
E137422
|
entity |
| Predicate | hasAlly |
P600
|
FINISHED |
| Object |
Bersonin
Bersonin is a political ally of Duke Michael of Strelsau in the fictional kingdom of Ruritania.
|
E574123
|
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: Bersonin | Statement: [Duke Michael of Strelsau, hasAlly, Bersonin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bersonin Context triple: [Duke Michael of Strelsau, hasAlly, Bersonin]
-
A.
Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
B.
Bessas
Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
-
C.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
-
D.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
E.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
- 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: Bersonin Triple: [Duke Michael of Strelsau, hasAlly, Bersonin]
Generated description
Bersonin is a political ally of Duke Michael of Strelsau in the fictional kingdom of Ruritania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bersonin Target entity description: Bersonin is a political ally of Duke Michael of Strelsau in the fictional kingdom of Ruritania.
-
A.
Borbera
Borbera is a river in northwestern Italy that flows through the Piedmont region before joining the Tanaro.
-
B.
Bessas
Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
-
C.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
-
D.
Boselli
Boselli is an Italian surname most prominently associated with former NFL offensive tackle and Hall of Famer Tony Boselli.
-
E.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d35b2f88190abb9b90b5971e6d7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c14194d31081908e61a867f11117b4 |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c1472997d081909266b0e64fdbfe96 |
completed | March 23, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c147b5214c819082c20480965842be |
completed | March 23, 2026, 2:01 p.m. |
Created at: March 22, 2026, 4:17 p.m.