Triple
T15918166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julius Africanus |
E386022
|
entity |
| Predicate | workTitle |
P24259
|
FINISHED |
| Object |
Kestoi
Kestoi is an ancient work attributed to the early Christian scholar Julius Africanus, likely dealing with a collection of miscellaneous or learned topics.
|
E1182401
|
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: Kestoi | Statement: [Julius Africanus, workTitle, Kestoi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kestoi Context triple: [Julius Africanus, workTitle, Kestoi]
-
A.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
-
B.
Ojakkala
Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
-
C.
Ikaalinen
Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
-
D.
Kyösti
Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
-
E.
Kaitseliit
Kaitseliit is Estonia’s volunteer national defense organization that supports the country’s military and civil defense through trained reservists and local units.
- 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: Kestoi Triple: [Julius Africanus, workTitle, Kestoi]
Generated description
Kestoi is an ancient work attributed to the early Christian scholar Julius Africanus, likely dealing with a collection of miscellaneous or learned topics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kestoi Target entity description: Kestoi is an ancient work attributed to the early Christian scholar Julius Africanus, likely dealing with a collection of miscellaneous or learned topics.
-
A.
Kesten
Kesten is a surname most notably associated with Harry Kesten, a prominent mathematician known for his work in probability theory.
-
B.
Ojakkala
Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
-
C.
Ikaalinen
Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
-
D.
Kyösti
Kyösti is a Finnish masculine given name, notably borne by Kyösti Kallio, the fourth President of Finland.
-
E.
Kaitseliit
Kaitseliit is Estonia’s volunteer national defense organization that supports the country’s military and civil defense through trained reservists and local units.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1567ff9e48190b73cb101fc3f7b2b |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb05d1fb481909b42bea774a15c70 |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0cfac808190b32bb25659603fb4 |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb15b987c8190ae9c96f15fc55b27 |
completed | May 9, 2026, 10:12 p.m. |
Created at: April 10, 2026, 4:52 a.m.