Triple

T19130518
Position Surface form Disambiguated ID Type / Status
Subject Gundahar E468302 entity
Predicate hasAlternativeName P39 FINISHED
Object Gunther
Gunther is a legendary Burgundian king from Germanic heroic tradition, prominently featured in the Nibelungenlied and related medieval epics.
 E1360210 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: Gunther | Statement: [Gundahar, hasAlternativeName, Gunther]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gunther
Context triple: [Gundahar, hasAlternativeName, Gunther]
  • A. Gunther
    Gunther is an Austrian professional wrestler known for his hard-hitting style and dominant championship reigns in WWE.
  • B. Gunther
    Gunther is a recurring character on the television show "Friends," best known as the bleach-blond barista and manager at the Central Perk coffeehouse who harbors an unrequited crush on Rachel.
  • C. Gunther
    Gunther is a false identity adopted by the villainous Count Olaf in Lemony Snicket’s "A Series of Unfortunate Events" to deceive others and further his schemes against the Baudelaire orphans.
  • D. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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: Gunther
Triple: [Gundahar, hasAlternativeName, Gunther]
Generated description
Gunther is a legendary Burgundian king from Germanic heroic tradition, prominently featured in the Nibelungenlied and related medieval epics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gunther
Target entity description: Gunther is a legendary Burgundian king from Germanic heroic tradition, prominently featured in the Nibelungenlied and related medieval epics.
  • A. Gunther
    Gunther is an Austrian professional wrestler known for his hard-hitting style and dominant championship reigns in WWE.
  • B. Gunther
    Gunther is a recurring character on the television show "Friends," best known as the bleach-blond barista and manager at the Central Perk coffeehouse who harbors an unrequited crush on Rachel.
  • C. Gunther
    Gunther is a false identity adopted by the villainous Count Olaf in Lemony Snicket’s "A Series of Unfortunate Events" to deceive others and further his schemes against the Baudelaire orphans.
  • D. Burkhard
    Burkhard is a Germanic-origin surname found in various European countries and among their diasporas.
  • E. Günther
    Günther is the zoologist who first formally described the impressed tortoise species Manouria impressa.
  • 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e3e8c49481908b6be87af54d12cf completed April 20, 2026, 8:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05e67d781c8190816cb9db0ea68225 completed May 14, 2026, 3:13 p.m.
NEDg Description generation batch_6a05e7aa810081908d33193d8dcc88a9 completed May 14, 2026, 3:18 p.m.
NED2 Entity disambiguation (via description) batch_6a05ebe95e248190aecaa3625d14a2ea completed May 14, 2026, 3:36 p.m.
Created at: April 10, 2026, 12:05 p.m.