Triple

T19195556
Position Surface form Disambiguated ID Type / Status
Subject Second Quest for the historical Jesus E469958 entity
Predicate associatedWith P37 FINISHED
Object Günther Bornkamm
Günther Bornkamm was a prominent 20th-century German New Testament scholar and theologian known for his influential work on the historical Jesus and early Christianity.
E1818524 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: Günther Bornkamm | Statement: [Second Quest for the historical Jesus, associatedWith, Günther Bornkamm]
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: Günther Bornkamm
Triple: [Second Quest for the historical Jesus, associatedWith, Günther Bornkamm]
Generated description
Günther Bornkamm was a prominent 20th-century German New Testament scholar and theologian known for his influential work on the historical Jesus and early Christianity.

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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a5dabc81908fffad811f177b03 completed April 20, 2026, 9:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a16414f88e481909dd63424b18cba70 completed May 27, 2026, 12:56 a.m.
NEDg Description generation batch_6a164212dc348190b4eb5bae50803a5c completed May 27, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_6a16434f165c819081ea70b81354a508 completed May 27, 2026, 1:05 a.m.
Created at: April 10, 2026, 12:07 p.m.