Triple

T33132267
Position Surface form Disambiguated ID Type / Status
Subject Battle of Verona (312) E847905 entity
Predicate defendedBy P957 FINISHED
Object Ruricius Pompeianus
Ruricius Pompeianus was a Roman military commander and praetorian prefect who led Maxentius’s forces against Constantine at the Battle of Verona in 312 AD.
E2039079 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: Ruricius Pompeianus | Statement: [Battle of Verona (312), defendedBy, Ruricius Pompeianus]
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: Ruricius Pompeianus
Triple: [Battle of Verona (312), defendedBy, Ruricius Pompeianus]
Generated description
Ruricius Pompeianus was a Roman military commander and praetorian prefect who led Maxentius’s forces against Constantine at the Battle of Verona in 312 AD.

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_69f349588f088190b7c9588860f72033 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6d8335e5c8190a5bccc1da1a96f37 completed May 3, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3525b876348190b876d4a599e7c266 completed June 19, 2026, 11:19 a.m.
NEDg Description generation batch_6a352642f3b881908fffb87ea0141795 completed June 19, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_6a3526dd7ef881908473f30391e82cfa completed June 19, 2026, 11:24 a.m.
Created at: May 1, 2026, 1:27 a.m.