Triple

T9507902
Position Surface form Disambiguated ID Type / Status
Subject Das Rheingold E229315 entity
Predicate character P662 FINISHED
Object Fafner
Fafner is a giant in Richard Wagner's Ring Cycle who murders his brother for a cursed hoard of gold and transforms into a dragon to guard it.
E804189 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: Fafner | Statement: [Das Rheingold, character, Fafner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fafner
Context triple: [Das Rheingold, character, Fafner]
  • A. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • B. Futrono
    Futrono is a lakeside town and commune in southern Chile known for its scenic setting on Lake Ranco and its role in the Los Ríos Region’s tourism and agriculture.
  • C. Furawi
    Furawi is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • D. Burgard
    Burgard is a German surname borne by individuals such as the computer scientist Wolfram Burgard.
  • E. Tsurugi
    Tsurugi is a Japanese Shinkansen train service operating on the Hokuriku Shinkansen line, primarily providing all-stations shuttle connections between Toyama and Kanazawa.
  • 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: Fafner
Triple: [Das Rheingold, character, Fafner]
Generated description
Fafner is a giant in Richard Wagner's Ring Cycle who murders his brother for a cursed hoard of gold and transforms into a dragon to guard it.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fafner
Target entity description: Fafner is a giant in Richard Wagner's Ring Cycle who murders his brother for a cursed hoard of gold and transforms into a dragon to guard it.
  • A. Jenefar
    Jenefar is an alternative spelling of the given name Jennifer, typically used as a feminine first name.
  • B. Futrono
    Futrono is a lakeside town and commune in southern Chile known for its scenic setting on Lake Ranco and its role in the Los Ríos Region’s tourism and agriculture.
  • C. Furawi
    Furawi is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • D. Burgard
    Burgard is a German surname borne by individuals such as the computer scientist Wolfram Burgard.
  • E. Tsurugi
    Tsurugi is a Japanese Shinkansen train service operating on the Hokuriku Shinkansen line, primarily providing all-stations shuttle connections between Toyama and Kanazawa.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9855c5e48190a7d8d39b6d601679 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2b34948190826b1f58258a4f54 completed April 4, 2026, 4:19 p.m.
NEDg Description generation batch_69d13bc8ce4081909a58db4014f2748d completed April 4, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69d13c58beb08190ab41485bc7dd9b6d completed April 4, 2026, 4:29 p.m.
Created at: March 30, 2026, 7:57 p.m.