Triple

T2101243
Position Surface form Disambiguated ID Type / Status
Subject Visigothic–Roman conflicts E37096 entity
Predicate hasCommander P1197 FINISHED
Object Fritigern
Fritigern was a 4th-century Visigothic leader best known for leading Gothic forces against the Eastern Roman Empire, including at the Battle of Adrianople.
E233960 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: Fritigern | Statement: [Visigothic–Roman conflicts, hasCommander, Fritigern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fritigern
Context triple: [Visigothic–Roman conflicts, hasCommander, Fritigern]
  • A. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • B. Audun Tron
    Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
  • C. Willahelm
    Willahelm is a Germanic given name that is the historical root of names like Willem and William, traditionally meaning "resolute protector."
  • D. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • E. Godfrey
    Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
  • 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: Fritigern
Triple: [Visigothic–Roman conflicts, hasCommander, Fritigern]
Generated description
Fritigern was a 4th-century Visigothic leader best known for leading Gothic forces against the Eastern Roman Empire, including at the Battle of Adrianople.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fritigern
Target entity description: Fritigern was a 4th-century Visigothic leader best known for leading Gothic forces against the Eastern Roman Empire, including at the Battle of Adrianople.
  • A. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • B. Audun Tron
    Audun Tron is a Norwegian politician who served as the mayor of Lillehammer during the period when the city hosted the 1994 Winter Olympics.
  • C. Willahelm
    Willahelm is a Germanic given name that is the historical root of names like Willem and William, traditionally meaning "resolute protector."
  • D. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • E. Godfrey
    Godfrey is the given name of the influential British mathematician G. H. Hardy, renowned for his work in number theory and mathematical analysis.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabc83a8819091f786f21d33b5a6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3065f3588190bc483e07dda8cf71 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae3106488c8190a044d843a10f531a completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31889bc0819092810ade1961d10e completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.