Triple

T28691546
Position Surface form Disambiguated ID Type / Status
Subject Princess Maria Letizia Bonaparte E729297 entity
Predicate nobleTitle P914 FINISHED
Object Princess Maria Letizia of Savoy
Princess Maria Letizia of Savoy was an Italian princess of the House of Savoy and Bonaparte descendant who lived in the late 19th and early 20th centuries.
E1886919 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: Princess Maria Letizia of Savoy | Statement: [Princess Maria Letizia Bonaparte, nobleTitle, Princess Maria Letizia 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: Princess Maria Letizia of Savoy
Triple: [Princess Maria Letizia Bonaparte, nobleTitle, Princess Maria Letizia of Savoy]
Generated description
Princess Maria Letizia of Savoy was an Italian princess of the House of Savoy and Bonaparte descendant who lived in the late 19th and early 20th centuries.

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_69f043e60b6c8190ac2cd042e77fe6e9 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f65685513481908f1f755464552fba completed May 2, 2026, 7:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a26e5cb59648190bd119491af0aa408 completed June 8, 2026, 3:54 p.m.
NEDg Description generation batch_6a26e7479c6881908716317b72b808da completed June 8, 2026, 4:01 p.m.
NED2 Entity disambiguation (via description) batch_6a26e81aa86c819089fd224b7de75fc5 completed June 8, 2026, 4:04 p.m.
Created at: April 28, 2026, 5:36 a.m.