Triple

T27246423
Position Surface form Disambiguated ID Type / Status
Subject Baroness Mary Vetsera E687356 entity
Predicate sibling P363 FINISHED
Object Hanna von Vetsera
Hanna von Vetsera was an Austrian noblewoman of the late 19th century and a member of the Vetsera family, known in connection with the aristocratic circles of the Austro-Hungarian Empire.
 E1789441 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: Hanna von Vetsera | Statement: [Baroness Mary Vetsera, sibling, Hanna von Vetsera]
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: Hanna von Vetsera
Triple: [Baroness Mary Vetsera, sibling, Hanna von Vetsera]
Generated description
Hanna von Vetsera was an Austrian noblewoman of the late 19th century and a member of the Vetsera family, known in connection with the aristocratic circles of the Austro-Hungarian Empire.

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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f626b1c8548190a6a81f6c460aef88 completed May 2, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12ec8db6f081909c96d78bb41defd1 completed May 24, 2026, 12:18 p.m.
NEDg Description generation batch_6a12ee3f436c8190b1daf7ec5041304e completed May 24, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a12eef15e2c819099088626fb78adce completed May 24, 2026, 12:28 p.m.
Created at: April 27, 2026, 10:41 a.m.