Triple

T31190207
Position Surface form Disambiguated ID Type / Status
Subject SMS Viribus Unitis E795156 entity
Predicate attackedBy P2363 FINISHED
Object Raffaele Rossetti
Raffaele Rossetti was an Italian naval officer and engineer best known for pioneering manned torpedoes and sinking the Austro-Hungarian battleship Viribus Unitis during World War I.
E2104644 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: Raffaele Rossetti | Statement: [SMS Viribus Unitis, attackedBy, Raffaele Rossetti]
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: Raffaele Rossetti
Triple: [SMS Viribus Unitis, attackedBy, Raffaele Rossetti]
Generated description
Raffaele Rossetti was an Italian naval officer and engineer best known for pioneering manned torpedoes and sinking the Austro-Hungarian battleship Viribus Unitis during World War I.

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_69f224d7a6a481908187c4362a8a525f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f69914ed14819097b41f31cf0392b2 completed May 3, 2026, 12:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3740e62798819080a04afa3929b1a9 completed June 21, 2026, 1:39 a.m.
NEDg Description generation batch_6a3742189084819080ee9c2cb39751a1 completed June 21, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a374329be488190bffd50363cf3b8f0 completed June 21, 2026, 1:49 a.m.
Created at: April 29, 2026, 9:08 p.m.