Triple

T33153656
Position Surface form Disambiguated ID Type / Status
Subject Karoline Ernestine of Erbach-Schönberg E848506 entity
Predicate child P120 FINISHED
Object Luise of Holstein-Gottorp
Luise of Holstein-Gottorp was a German duchess and member of the House of Holstein-Gottorp, connected to various European noble families through birth and marriage.
E2296942 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: Luise of Holstein-Gottorp | Statement: [Karoline Ernestine of Erbach-Schönberg, child, Luise of Holstein-Gottorp]
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: Luise of Holstein-Gottorp
Triple: [Karoline Ernestine of Erbach-Schönberg, child, Luise of Holstein-Gottorp]
Generated description
Luise of Holstein-Gottorp was a German duchess and member of the House of Holstein-Gottorp, connected to various European noble families through birth and marriage.

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_69f3495a458c8190a1d34b237ba0be3f completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d8dd0f708190a9f04f7b997b777c completed May 3, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a82df6190008190b892779f3532353d completed Aug. 17, 2026, 10:16 a.m.
NEDg Description generation batch_6a82dfe84dc4819085ea37ea7f251e96 completed Aug. 17, 2026, 10:18 a.m.
NED2 Entity disambiguation (via description) batch_6a82e17e48c481908900fffce6a25d23 completed Aug. 17, 2026, 10:25 a.m.
Created at: May 1, 2026, 1:28 a.m.