Triple

T20197054
Position Surface form Disambiguated ID Type / Status
Subject Amadeus I, Count of Savoy E493112 entity
Predicate child P120 FINISHED
Object Aymon
Aymon was a medieval nobleman who became Count of Savoy in the early 14th century, known for consolidating his family's power in the region.
 E1416527 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: Aymon | Statement: [Amadeus I, Count of Savoy, child, Aymon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aymon
Context triple: [Amadeus I, Count of Savoy, child, Aymon]
  • A. Aymon
    Aymon is a masculine given name, commonly used as a variant transliteration or spelling of the Arabic name Ayman.
  • B. Raoul
    Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
  • C. Raoul
    Raoul is a masculine given name of French origin, notably borne by the Fauvist painter Raoul Dufy.
  • D. Raoul d’Harcourt
    Raoul d’Harcourt was a French nobleman and ecclesiastic of the influential Harcourt family, known for his role in founding the medieval Collège d’Harcourt in Paris.
  • E. Hugh of Brienne
    Hugh of Brienne was a 13th-century French nobleman and military leader who held titles in both France and the Kingdom of Naples and played a prominent role in Mediterranean politics and warfare.
  • 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: Aymon
Triple: [Amadeus I, Count of Savoy, child, Aymon]
Generated description
Aymon was a medieval nobleman who became Count of Savoy in the early 14th century, known for consolidating his family's power in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aymon
Target entity description: Aymon was a medieval nobleman who became Count of Savoy in the early 14th century, known for consolidating his family's power in the region.
  • A. Aymon
    Aymon is a masculine given name, commonly used as a variant transliteration or spelling of the Arabic name Ayman.
  • B. Raoul
    Raoul is a violent, masked intruder and one of the primary antagonists in the thriller film "Panic Room."
  • C. Raoul
    Raoul is a masculine given name of French origin, notably borne by the Fauvist painter Raoul Dufy.
  • D. Raoul d’Harcourt
    Raoul d’Harcourt was a French nobleman and ecclesiastic of the influential Harcourt family, known for his role in founding the medieval Collège d’Harcourt in Paris.
  • E. Hugh of Brienne
    Hugh of Brienne was a 13th-century French nobleman and military leader who held titles in both France and the Kingdom of Naples and played a prominent role in Mediterranean politics and warfare.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ad99d50819090ddb7b546c65321 completed April 20, 2026, 6:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a083c8a440c819089f0d90aacc640b5 completed May 16, 2026, 9:44 a.m.
NEDg Description generation batch_6a083d95db488190b2ffafc7e0d874dc completed May 16, 2026, 9:49 a.m.
NED2 Entity disambiguation (via description) batch_6a083e12d31481909295a5dc4e47b14b completed May 16, 2026, 9:51 a.m.
Created at: April 11, 2026, 11:37 p.m.