Triple

T28656698
Position Surface form Disambiguated ID Type / Status
Subject Codex Koridethi E725352 entity
Predicate usedByScholar P28365 FINISHED
Object Hermann von Soden
Hermann von Soden was a German biblical scholar and textual critic known for his influential work on classifying New Testament manuscripts and developing a comprehensive critical edition of the Greek New Testament.
E2292825 NE FINISHED

How this triple was built (2 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: Hermann von Soden | Statement: [Codex Koridethi, usedByScholar, Hermann von Soden]
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: Hermann von Soden
Triple: [Codex Koridethi, usedByScholar, Hermann von Soden]
Generated description
Hermann von Soden was a German biblical scholar and textual critic known for his influential work on classifying New Testament manuscripts and developing a comprehensive critical edition of the Greek New Testament.

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_69f01d84f5f0819087ab5e6143b14ed7 completed April 28, 2026, 2:37 a.m.
NER Named-entity recognition batch_69f652e891808190a31adc508777c3b2 completed May 2, 2026, 7:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7a2dd0c4788190ab76dc0b3b8e6179 completed Aug. 10, 2026, 8 p.m.
NEDg Description generation batch_6a7a2e35bb9481908551c87cab4e68fd completed Aug. 10, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a7a2ec7fd5c8190a8773f2ec352cdfa completed Aug. 10, 2026, 8:04 p.m.
Created at: April 28, 2026, 4:55 a.m.