Triple

T26773028
Position Surface form Disambiguated ID Type / Status
Subject Charles I, Duke of Savoy E670033 entity
Predicate child P120 FINISHED
Object Charles John Amadeus of Savoy
Charles John Amadeus of Savoy was a 16th-century Savoyard prince, the son and heir of Charles I, Duke of Savoy, whose early death curtailed his dynastic prospects.
 E1764562 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: Charles John Amadeus of Savoy | Statement: [Charles I, Duke of Savoy, child, Charles John Amadeus of Savoy]
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: Charles John Amadeus of Savoy
Triple: [Charles I, Duke of Savoy, child, Charles John Amadeus of Savoy]
Generated description
Charles John Amadeus of Savoy was a 16th-century Savoyard prince, the son and heir of Charles I, Duke of Savoy, whose early death curtailed his dynastic prospects.

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_69eeb31c925881909b597f6e40056d28 completed April 27, 2026, 12:51 a.m.
NER Named-entity recognition batch_69f6192e4bc48190b7afa145e0c53b8b completed May 2, 2026, 3:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12624972448190b5bea80e2e35c316 completed May 24, 2026, 2:28 a.m.
NEDg Description generation batch_6a126a44ffe88190bd2689c501d39258 completed May 24, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_6a126adb11e48190bf0ee5473e874861 completed May 24, 2026, 3:04 a.m.
Created at: April 27, 2026, 4:03 a.m.