Triple

T25075879
Position Surface form Disambiguated ID Type / Status
Subject Barrayar E628045 entity
Predicate hasCharacter P2308 FINISHED
Object Princess Kareen Vorbarra
Princess Kareen Vorbarra is a member of the Barrayaran imperial family in Lois McMaster Bujold’s Vorkosigan Saga, known primarily as the mother of Emperor Gregor Vorbarra.
E1670900 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 Kareen Vorbarra | Statement: [Barrayar, hasCharacter, Princess Kareen Vorbarra]
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 Kareen Vorbarra
Triple: [Barrayar, hasCharacter, Princess Kareen Vorbarra]
Generated description
Princess Kareen Vorbarra is a member of the Barrayaran imperial family in Lois McMaster Bujold’s Vorkosigan Saga, known primarily as the mother of Emperor Gregor Vorbarra.

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_69e2ff2e73f881909992bf3eda5c25cb completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f45d1966c08190997f5ff8880a3314 completed May 1, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067b790288190988ffced523d902d completed May 22, 2026, 2:27 p.m.
NEDg Description generation batch_6a10695d0e648190b51f82934d5f2800 completed May 22, 2026, 2:34 p.m.
NED2 Entity disambiguation (via description) batch_6a1069d0ba8c81908b38818567784552 completed May 22, 2026, 2:36 p.m.
Created at: April 18, 2026, 6:21 a.m.