Triple

T34517366
Position Surface form Disambiguated ID Type / Status
Subject Jean Mabillon E886187 entity
Predicate notableWork P4 FINISHED
Object De re diplomatica
De re diplomatica is a foundational 17th-century treatise that established the critical methods for authenticating and analyzing medieval documents and charters, effectively founding the modern discipline of diplomatics.
 E2100383 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: De re diplomatica | Statement: [Jean Mabillon, notableWork, De re diplomatica]
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: De re diplomatica
Triple: [Jean Mabillon, notableWork, De re diplomatica]
Generated description
De re diplomatica is a foundational 17th-century treatise that established the critical methods for authenticating and analyzing medieval documents and charters, effectively founding the modern discipline of diplomatics.

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_69f349ccc290819089d8e82698e53cb6 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f71f95ca408190b438f6444832dade completed May 3, 2026, 10:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3729e15a788190b7ffba7044d50616 completed June 21, 2026, 12:01 a.m.
NEDg Description generation batch_6a372a47f6a88190af8922a3af8c5eba completed June 21, 2026, 12:03 a.m.
NED2 Entity disambiguation (via description) batch_6a372acf6ce48190bec089a269da1194 completed June 21, 2026, 12:05 a.m.
Created at: May 1, 2026, 2:01 a.m.