Triple

T17525255
Position Surface form Disambiguated ID Type / Status
Subject Bosonid dynasty E426776 entity
Predicate hasNotableMember P304 FINISHED
Object Engelberga
Engelberga was a 9th-century Frankish noblewoman who became Holy Roman Empress as the wife of Emperor Louis II and played an influential political role in the Carolingian Empire.
 E1274069 NE FINISHED

How this triple was built (4 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: Engelberga | Statement: [Bosonid dynasty, hasNotableMember, Engelberga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Engelberga
Context triple: [Bosonid dynasty, hasNotableMember, Engelberga]
  • A. Engelberga
    Engelberga was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine, and a member of the Frankish aristocracy.
  • B. Odenberg
    Odenberg is a Swedish surname most notably associated with politician Mikael Odenberg.
  • C. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • D. Arbory
    Arbory is a rural parish in the south of the Isle of Man, known for its agricultural landscape and traditional Manx village communities.
  • E. Ernstthal
    Ernstthal is a small town in Saxony, Germany, best known as the birthplace of the popular adventure novelist Karl May.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Engelberga
Triple: [Bosonid dynasty, hasNotableMember, Engelberga]
Generated description
Engelberga was a 9th-century Frankish noblewoman who became Holy Roman Empress as the wife of Emperor Louis II and played an influential political role in the Carolingian Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Engelberga
Target entity description: Engelberga was a 9th-century Frankish noblewoman who became Holy Roman Empress as the wife of Emperor Louis II and played an influential political role in the Carolingian Empire.
  • A. Engelberga
    Engelberga was a medieval noblewoman known primarily as the wife of William I, Duke of Aquitaine, and a member of the Frankish aristocracy.
  • B. Odenberg
    Odenberg is a Swedish surname most notably associated with politician Mikael Odenberg.
  • C. Ehrwald
    Ehrwald is a picturesque Austrian village in Tyrol, known as a popular alpine resort and gateway to the Zugspitze massif.
  • D. Arbory
    Arbory is a rural parish in the south of the Isle of Man, known for its agricultural landscape and traditional Manx village communities.
  • E. Ernstthal
    Ernstthal is a small town in Saxony, Germany, best known as the birthplace of the popular adventure novelist Karl May.
  • F. None of above. chosen

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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d592a081909bf876d606158b2d completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c9473100819081079a0db51391cc completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cb2016f8819090e8ec20428cfdaf completed May 11, 2026, 12:27 p.m.
NED2 Entity disambiguation (via description) batch_6a01cbad7bf481909c754049686c5b39 completed May 11, 2026, 12:29 p.m.
Created at: April 10, 2026, 5:49 a.m.