Triple

T30337127
Position Surface form Disambiguated ID Type / Status
Subject gens Aurelia E771652 entity
Predicate hasNotableMember P304 FINISHED
Object Gaius Aurelius Cotta (consul 75 BC)
Gaius Aurelius Cotta was a Roman statesman and orator who served as consul in 75 BC and was known for his moderate political stance during the late Republic.
E1910583 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: Gaius Aurelius Cotta (consul 75 BC) | Statement: [gens Aurelia, hasNotableMember, Gaius Aurelius Cotta (consul 75 BC)]
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: Gaius Aurelius Cotta (consul 75 BC)
Triple: [gens Aurelia, hasNotableMember, Gaius Aurelius Cotta (consul 75 BC)]
Generated description
Gaius Aurelius Cotta was a Roman statesman and orator who served as consul in 75 BC and was known for his moderate political stance during the late Republic.

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_69f2248aba24819095bb86480d55b23b completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f681ce34048190b4d31e2966949d8c completed May 2, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a277c21bd08819095246c906a685334 completed June 9, 2026, 2:36 a.m.
NEDg Description generation batch_6a277cefc06881909023e8a019d6395a completed June 9, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_6a277dac3814819086f5f3efc1a79349 completed June 9, 2026, 2:42 a.m.
Created at: April 29, 2026, 7:54 p.m.