Triple

T30895058
Position Surface form Disambiguated ID Type / Status
Subject Beatrice Cenci E786997 entity
Predicate inspiredWork P1994 FINISHED
Object “Beatrice Cenci” (opera) by Ildebrando Pizzetti
“Beatrice Cenci” is a 1958 opera by Italian composer Ildebrando Pizzetti that dramatizes the tragic historical story of the Roman noblewoman Beatrice Cenci.
 E1937559 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: “Beatrice Cenci” (opera) by Ildebrando Pizzetti | Statement: [Beatrice Cenci, inspiredWork, “Beatrice Cenci” (opera) by Ildebrando Pizzetti]
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: “Beatrice Cenci” (opera) by Ildebrando Pizzetti
Triple: [Beatrice Cenci, inspiredWork, “Beatrice Cenci” (opera) by Ildebrando Pizzetti]
Generated description
“Beatrice Cenci” is a 1958 opera by Italian composer Ildebrando Pizzetti that dramatizes the tragic historical story of the Roman noblewoman Beatrice Cenci.

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_69f224bbfa7c81908448e0c261c523e3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6923a69048190ba22deee04c20e30 completed May 3, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a28e45c62548190ac06b7fe921319f2 completed June 10, 2026, 4:13 a.m.
NEDg Description generation batch_6a28e5e7bab88190a95e09f8f365f923 completed June 10, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a28e651a6b881908343d4cc1943e807 completed June 10, 2026, 4:21 a.m.
Created at: April 29, 2026, 8:49 p.m.