Triple

T9507904
Position Surface form Disambiguated ID Type / Status
Subject Das Rheingold E229315 entity
Predicate character P662 FINISHED
Object Erda
Erda is the earth goddess and prophetic figure in Richard Wagner’s Ring Cycle, renowned for her wisdom and warnings to the gods.
 E804190 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: Erda | Statement: [Das Rheingold, character, Erda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Erda
Context triple: [Das Rheingold, character, Erda]
  • A. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • B. Erdek
    Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
  • C. Terra
    Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
  • D. Mẫu Địa
    Mẫu Địa is an earth mother goddess in the Vietnamese Mother Goddess religion (Đạo Mẫu), associated with the land, fertility, and the earthly realm.
  • E. Verden
    Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
  • 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: Erda
Triple: [Das Rheingold, character, Erda]
Generated description
Erda is the earth goddess and prophetic figure in Richard Wagner’s Ring Cycle, renowned for her wisdom and warnings to the gods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Erda
Target entity description: Erda is the earth goddess and prophetic figure in Richard Wagner’s Ring Cycle, renowned for her wisdom and warnings to the gods.
  • A. La Terre
    La Terre is a naturalist novel by Émile Zola that portrays the brutal lives, struggles, and moral decay of French peasants in the 19th century countryside.
  • B. Erdek
    Erdek is a coastal town and popular seaside resort in Turkey’s Balıkesir Province, located on the Kapıdağ Peninsula along the Sea of Marmara.
  • C. Terra
    Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
  • D. Mẫu Địa
    Mẫu Địa is an earth mother goddess in the Vietnamese Mother Goddess religion (Đạo Mẫu), associated with the land, fertility, and the earthly realm.
  • E. Verden
    Verden is a historic town in Lower Saxony, Germany, known for its medieval cathedral and location along the Weser River.
  • 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.