Triple

T12479621
Position Surface form Disambiguated ID Type / Status
Subject Nibelungenlied E298271 entity
Predicate mainCharacter P1183 FINISHED
Object Etzel
Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
 E984164 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: Etzel | Statement: [Nibelungenlied, mainCharacter, Etzel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Etzel
Context triple: [Nibelungenlied, mainCharacter, Etzel]
  • A. Etzel
    Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • B. Dalstroi
    Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
  • C. Lindorf
    Lindorf is a sinister, manipulative antagonist in Offenbach’s opera "The Tales of Hoffmann," embodying one of the forces that thwart the poet Hoffmann’s romantic pursuits.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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: Etzel
Triple: [Nibelungenlied, mainCharacter, Etzel]
Generated description
Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Etzel
Target entity description: Etzel is the powerful king of the Huns in the medieval German epic "Nibelungenlied," a figure based on the historical Attila the Hun.
  • A. Etzel
    Etzel was a Zionist paramilitary organization that operated in Mandatory Palestine before the establishment of the State of Israel.
  • B. Dalstroi
    Dalstroi was a Soviet state organization that managed forced labor camps and large-scale industrial and construction projects in the Kolyma region, particularly focused on gold mining.
  • C. Lindorf
    Lindorf is a sinister, manipulative antagonist in Offenbach’s opera "The Tales of Hoffmann," embodying one of the forces that thwart the poet Hoffmann’s romantic pursuits.
  • D. Günther
    Günther is a German masculine given name traditionally associated with figures of Germanic origin and culture.
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcdcd3c81908ad29145db241408 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f2732a08190890493925e41a6e1 completed May 2, 2026, 6:15 p.m.
NEDg Description generation batch_69f640b513488190893359e9964dbe98 completed May 2, 2026, 6:21 p.m.
NED2 Entity disambiguation (via description) batch_69f641abe114819093d99a327f2220c2 completed May 2, 2026, 6:25 p.m.
Created at: April 8, 2026, 9:56 p.m.