Triple

T2341648
Position Surface form Disambiguated ID Type / Status
Subject Charlemagne E45038 entity
Predicate child P120 FINISHED
Object Ruodhaid
Ruodhaid was one of Charlemagne’s daughters, a Carolingian princess known primarily through her familial connection to the Frankish emperor.
 E259240 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: Ruodhaid | Statement: [Charlemagne, child, Ruodhaid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ruodhaid
Context triple: [Charlemagne, child, Ruodhaid]
  • A. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. Rosamorada
    Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • C. Ruda
    Ruda is the former name of the global sportswear and athletic brand now known as Puma.
  • D. Blaauw
    Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
  • E. Fergus
    Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • 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: Ruodhaid
Triple: [Charlemagne, child, Ruodhaid]
Generated description
Ruodhaid was one of Charlemagne’s daughters, a Carolingian princess known primarily through her familial connection to the Frankish emperor.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ruodhaid
Target entity description: Ruodhaid was one of Charlemagne’s daughters, a Carolingian princess known primarily through her familial connection to the Frankish emperor.
  • A. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. Rosamorada
    Rosamorada is a municipality and town in the Mexican state of Nayarit, known for its agricultural activities and rural communities.
  • C. Ruda
    Ruda is the former name of the global sportswear and athletic brand now known as Puma.
  • D. Blaauw
    Blaauw is a Dutch surname most notably associated with Gerrit Blaauw, a pioneering computer architect involved in the design of early IBM systems.
  • E. Fergus
    Fergus is a fictional character from the game "Wild Target," likely serving as a notable figure within its story or gameplay.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ad01fc81909e386986e9acc989 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae961fd8748190a82ca4c4b840d9f6 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae980425b0819092477f5cf9816d65 completed March 9, 2026, 9:51 a.m.
NED2 Entity disambiguation (via description) batch_69ae9bef58f881908161d143369ba11a completed March 9, 2026, 10:07 a.m.
Created at: March 4, 2026, 7:52 p.m.