Triple

T30582316
Position Surface form Disambiguated ID Type / Status
Subject Alfred I, Prince of Windisch-Grätz E778414 entity
Predicate spouse P13 FINISHED
Object Eleonore von Schwarzenberg
Eleonore von Schwarzenberg was an Austrian noblewoman of the influential Schwarzenberg family and the wife of Alfred I, Prince of Windisch-Grätz.
E2092508 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: Eleonore von Schwarzenberg | Statement: [Alfred I, Prince of Windisch-Grätz, spouse, Eleonore von Schwarzenberg]
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: Eleonore von Schwarzenberg
Triple: [Alfred I, Prince of Windisch-Grätz, spouse, Eleonore von Schwarzenberg]
Generated description
Eleonore von Schwarzenberg was an Austrian noblewoman of the influential Schwarzenberg family and the wife of Alfred I, Prince of Windisch-Grätz.

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_69f224a04b248190b0ca443ec86207b8 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f689441ba08190a5bff065419bd59f completed May 2, 2026, 11:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3704765f208190a18f228355529365 completed June 20, 2026, 9:21 p.m.
NEDg Description generation batch_6a370577d8e08190848ce63a9865793d completed June 20, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_6a37061b69fc81908c02244b45d74771 completed June 20, 2026, 9:28 p.m.
Created at: April 29, 2026, 8:23 p.m.