Triple

T10861682
Position Surface form Disambiguated ID Type / Status
Subject Rothari E256419 entity
Predicate predecessor P97 FINISHED
Object Arioald
Arioald was a 7th-century King of the Lombards in Italy, known for his Arian Christian faith and for deposing his Catholic predecessor, Adaloald.
 E891283 NE FINISHED

How this triple was built (4 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: Arioald | Statement: [Rothari, predecessor, Arioald]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arioald
Context triple: [Rothari, predecessor, Arioald]
  • A. Íñigo
    Íñigo is the Basque given name of Ignatius of Loyola, the 16th-century Spanish priest who founded the Society of Jesus (Jesuits).
  • B. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • C. Roderic
    Roderic is a masculine given name of Germanic origin, often associated with historical and literary figures.
  • D. Maragall
    Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
  • E. Henri d'Aramitz
    Henri d'Aramitz was a 17th-century French Gascon nobleman and musketeer whose life partly inspired Alexandre Dumas’s fictional character Aramis in *The Three Musketeers*.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Arioald
Triple: [Rothari, predecessor, Arioald]
Generated description
Arioald was a 7th-century King of the Lombards in Italy, known for his Arian Christian faith and for deposing his Catholic predecessor, Adaloald.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arioald
Target entity description: Arioald was a 7th-century King of the Lombards in Italy, known for his Arian Christian faith and for deposing his Catholic predecessor, Adaloald.
  • A. Íñigo
    Íñigo is the Basque given name of Ignatius of Loyola, the 16th-century Spanish priest who founded the Society of Jesus (Jesuits).
  • B. Aramburu
    Aramburu is a Spanish-language surname of Basque origin borne by various notable figures in politics, religion, and sports.
  • C. Roderic
    Roderic is a masculine given name of Germanic origin, often associated with historical and literary figures.
  • D. Maragall
    Maragall is a Barcelona Metro station that serves as an interchange point between multiple lines in the city’s public transit network.
  • E. Henri d'Aramitz
    Henri d'Aramitz was a 17th-century French Gascon nobleman and musketeer whose life partly inspired Alexandre Dumas’s fictional character Aramis in *The Three Musketeers*.
  • F. None of above. chosen

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_69d6aa83d1448190a66d93c32394d21f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7515186f08190a5cc388a7d936c4f completed April 9, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7d350748190821a4413c1eb7106 completed April 15, 2026, 8:40 p.m.
NEDg Description generation batch_69e0b498df2481908c964d53b1782774 completed April 16, 2026, 10:06 a.m.
NED2 Entity disambiguation (via description) batch_69e11e21fc2c8190878a877ecd3b465e completed April 16, 2026, 5:36 p.m.
Created at: April 8, 2026, 9:20 p.m.