Triple

T25604645
Position Surface form Disambiguated ID Type / Status
Subject Battle of Fère-Champenoise E641875 entity
Predicate commander P1061 FINISHED
Object August von Wrede
August von Wrede was a Bavarian general and nobleman who served as a senior commander in the Napoleonic Wars, notably leading Bavarian forces in several major campaigns.
E660022 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: August von Wrede | Statement: [Battle of Fère-Champenoise, commander, August von Wrede]
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: August von Wrede
Triple: [Battle of Fère-Champenoise, commander, August von Wrede]
Generated description
August von Wrede was a Bavarian general and nobleman who served as a senior commander in the Napoleonic Wars, notably leading Bavarian forces in several major campaigns.

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_69e75dc6ccf081908d49578fd36a76d5 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f9a951b88190a4187e74a5b2ec93 completed May 2, 2026, 1:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2a71dfcdc8819093a8beaf6e890f9b completed June 11, 2026, 8:29 a.m.
NEDg Description generation batch_6a2a7277685881909febd93c79afdf40 completed June 11, 2026, 8:31 a.m.
NED2 Entity disambiguation (via description) batch_6a2a8c4acaf081909cacf566566440ce completed June 11, 2026, 10:22 a.m.
Created at: April 21, 2026, 4:37 p.m.