Triple

T35539251
Position Surface form Disambiguated ID Type / Status
Subject Giulia da Varano E1027015 entity
Predicate associatedWithDynasty P7426 FINISHED
Object Varano dynasty
The Varano dynasty was a prominent Italian noble family that ruled the city-state of Camerino in the Marche region during the late Middle Ages and Renaissance.
E2152424 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: Varano dynasty | Statement: [Giulia da Varano, associatedWithDynasty, Varano dynasty]
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: Varano dynasty
Triple: [Giulia da Varano, associatedWithDynasty, Varano dynasty]
Generated description
The Varano dynasty was a prominent Italian noble family that ruled the city-state of Camerino in the Marche region during the late Middle Ages and Renaissance.

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_69f76e008ba08190927acd8e5e0344c8 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f79804e8a08190a00f956d940387e0 completed May 3, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387cfa4c988190b575f6b46cc57a1c completed June 22, 2026, 12:08 a.m.
NEDg Description generation batch_6a387d8bebac8190945e3bd73b0e9222 completed June 22, 2026, 12:10 a.m.
NED2 Entity disambiguation (via description) batch_6a387dfd11588190b56499799b37f578 completed June 22, 2026, 12:12 a.m.
Created at: May 3, 2026, 4:04 p.m.