Triple

T32569504
Position Surface form Disambiguated ID Type / Status
Subject Frederick II, Duke of Upper Lorraine E832472 entity
Predicate mother P120 FINISHED
Object Richilde of Blieskastel
Richilde of Blieskastel was a medieval noblewoman of the House of Blieskastel, known primarily as the mother of Frederick II, Duke of Upper Lorraine.
E2090339 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: Richilde of Blieskastel | Statement: [Frederick II, Duke of Upper Lorraine, mother, Richilde of Blieskastel]
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: Richilde of Blieskastel
Triple: [Frederick II, Duke of Upper Lorraine, mother, Richilde of Blieskastel]
Generated description
Richilde of Blieskastel was a medieval noblewoman of the House of Blieskastel, known primarily as the mother of Frederick II, Duke of Upper Lorraine.

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_69f34927bb308190ad94da1b11cad13c completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c639c71481908bf86cbe33a33bbe completed May 3, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a36f9a491488190bf06f4b87a71c219 completed June 20, 2026, 8:35 p.m.
NEDg Description generation batch_6a36fa3f99f08190b96e65347f9dcc63 completed June 20, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a36faa625708190b37bf417c721e5bc completed June 20, 2026, 8:40 p.m.
Created at: May 1, 2026, 1:03 a.m.