Triple
T6323669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Apphus |
E141806
|
entity |
| Predicate | cognomen |
P6662
|
FINISHED |
| Object |
Apphus
Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
|
E584273
|
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: Apphus | Statement: [Jonathan Apphus, cognomen, Apphus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apphus Context triple: [Jonathan Apphus, cognomen, Apphus]
-
A.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Storo
Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
-
C.
Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
D.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
-
E.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
- 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: Apphus Triple: [Jonathan Apphus, cognomen, Apphus]
Generated description
Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apphus Target entity description: Apphus is the cognomen (family or distinguishing name) of Jonathan Apphus, a prominent leader of the Maccabean revolt in 2nd-century BCE Judea.
-
A.
Sandvika
Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
-
B.
Storo
Storo is a neighborhood and transport hub in Oslo, Norway, known for its major shopping center and connections to tram, metro, and bus lines.
-
C.
Aulestad
Aulestad is the historic Norwegian country estate and museum best known as the longtime home of Nobel Prize–winning writer Bjørnstjerne Bjørnson.
-
D.
Ballstad
Ballstad is a fishing village in Norway’s Lofoten archipelago, known for its scenic coastal landscape and traditional maritime culture.
-
E.
Fagerborg
Fagerborg is a residential neighborhood in Oslo, Norway, known for its central location, historic buildings, and proximity to major educational institutions.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064e538ac81908c5d7556513c2bc3 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e490472c8190b4ecc935bf03d01e |
completed | March 27, 2026, 1:59 a.m. |
| NEDg | Description generation | batch_69c5e6347c108190bfdbad7c18880a37 |
completed | March 27, 2026, 2:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c5e6bb552c8190a092495b5ecb5b57 |
completed | March 27, 2026, 2:08 a.m. |
Created at: March 22, 2026, 4:29 p.m.