Triple

T28846528
Position Surface form Disambiguated ID Type / Status
Subject Gepid Kingdom E728468 entity
Predicate notableRuler P22 FINISHED
Object King Ardaric
King Ardaric was a 5th-century ruler of the Gepids best known for leading a coalition of Germanic tribes against the Huns at the Battle of Nedao, helping to end Hunnic dominance in Central Europe.
E1837024 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: King Ardaric | Statement: [Gepid Kingdom, notableRuler, King Ardaric]
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: King Ardaric
Triple: [Gepid Kingdom, notableRuler, King Ardaric]
Generated description
King Ardaric was a 5th-century ruler of the Gepids best known for leading a coalition of Germanic tribes against the Huns at the Battle of Nedao, helping to end Hunnic dominance in Central Europe.

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_69f0319e8e7c8190b37288c8845b9dbc completed April 28, 2026, 4:03 a.m.
NER Named-entity recognition batch_69f659d54090819089becfae2604ae7f completed May 2, 2026, 8:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a24bbb8060c8190a2ba73a263a9d89d completed June 7, 2026, 12:30 a.m.
NEDg Description generation batch_6a24c0054a1c8190bcfd93bbe412553b completed June 7, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a24c6b4cdb88190b7421c5ba080fb45 completed June 7, 2026, 1:17 a.m.
Created at: April 28, 2026, 6:42 a.m.