Triple

T21835889
Position Surface form Disambiguated ID Type / Status
Subject Marie-Amélie of Naples and Sicily E539117 entity
Predicate title P38 FINISHED
Object Duchess of Orléans
The Duchess of Orléans is a French noble title traditionally held by the wife or close female relative of the Duke of Orléans, a prominent cadet branch of the French royal family.
E1205573 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: Duchess of Orléans | Statement: [Marie-Amélie of Naples and Sicily, title, Duchess of Orléans]
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: Duchess of Orléans
Triple: [Marie-Amélie of Naples and Sicily, title, Duchess of Orléans]
Generated description
The Duchess of Orléans is a French noble title traditionally held by the wife or close female relative of the Duke of Orléans, a prominent cadet branch of the French royal family.

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_69e0c475cda88190987d08f23caebdc1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0a7a7c368819094e0c4548be30798 completed April 28, 2026, 12:27 p.m.
NED1 Entity disambiguation (via context triple) batch_6a105ca8a5248190a6f30bfab3aaec80 completed May 22, 2026, 1:39 p.m.
NEDg Description generation batch_6a105e52d9fc8190b22dd25b9cec720b completed May 22, 2026, 1:46 p.m.
NED2 Entity disambiguation (via description) batch_6a105f4ef2648190a3b26415b711b171 completed May 22, 2026, 1:51 p.m.
Created at: April 16, 2026, 6:55 p.m.