Triple

T22795998
Position Surface form Disambiguated ID Type / Status
Subject Archduchess Gisela of Austria E564246 entity
Predicate child P120 FINISHED
Object Princess Auguste Maria of Bavaria
Princess Auguste Maria of Bavaria was a Bavarian princess and member of the House of Wittelsbach who became an Austrian archduchess through marriage into the Habsburg-Lorraine dynasty.
E2287647 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: Princess Auguste Maria of Bavaria | Statement: [Archduchess Gisela of Austria, child, Princess Auguste Maria 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: Princess Auguste Maria of Bavaria
Triple: [Archduchess Gisela of Austria, child, Princess Auguste Maria of Bavaria]
Generated description
Princess Auguste Maria of Bavaria was a Bavarian princess and member of the House of Wittelsbach who became an Austrian archduchess through marriage into the Habsburg-Lorraine dynasty.

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_69e2458185f88190b0045227ee420411 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cd8e0c4819086da0488bea56a34 completed April 29, 2026, 3:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5a07872f808190992c70f33bf1ea2c completed July 17, 2026, 10:44 a.m.
NEDg Description generation batch_6a5a0975ef548190905d40a65dcd3fae completed July 17, 2026, 10:52 a.m.
NED2 Entity disambiguation (via description) batch_6a5a0a786e1c8190a4abfcfd3b44a722 completed July 17, 2026, 10:56 a.m.
Created at: April 17, 2026, 3:30 p.m.