Triple

T28869592
Position Surface form Disambiguated ID Type / Status
Subject Princess Augusta Wilhelmine of Hesse-Darmstadt E729104 entity
Predicate child P120 FINISHED
Object Prince Friedrich of Bavaria
Prince Friedrich of Bavaria was a Bavarian royal prince from the House of Wittelsbach who lived in the late 18th and early 19th centuries and was connected to several prominent German dynasties.
E1974818 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: Prince Friedrich of Bavaria | Statement: [Princess Augusta Wilhelmine of Hesse-Darmstadt, child, Prince Friedrich of Bavaria]
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: Prince Friedrich of Bavaria
Triple: [Princess Augusta Wilhelmine of Hesse-Darmstadt, child, Prince Friedrich of Bavaria]
Generated description
Prince Friedrich of Bavaria was a Bavarian royal prince from the House of Wittelsbach who lived in the late 18th and early 19th centuries and was connected to several prominent German dynasties.

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_69f031a01cbc8190ba87270bb6fe4639 completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f65a45253481909791cec9f0b64072 completed May 2, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2b848b13c8819084bfcbdceeb7c02b completed June 12, 2026, 4:01 a.m.
NEDg Description generation batch_6a2b8a5a348c8190a74f46dde8c09f99 completed June 12, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a2b8f3ae3dc8190bb085871d208be43 completed June 12, 2026, 4:46 a.m.
Created at: April 28, 2026, 6:50 a.m.