Triple

T10126477
Position Surface form Disambiguated ID Type / Status
Subject Der fliegende Holländer E226227 entity
Predicate character P662 FINISHED
Object Senta
Senta is the devoted young woman in Richard Wagner’s opera "Der fliegende Holländer" whose obsessive compassion and self-sacrificial love offer redemption to the cursed Dutchman.
 E841651 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: Senta | Statement: [Der fliegende Holländer, character, Senta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Senta
Context triple: [Der fliegende Holländer, character, Senta]
  • A. Senta
    Senta is a town in northern Serbia, on the Tisa River, historically notable as the site of the 1697 Battle of Zenta between the Habsburg and Ottoman Empires.
  • B. Anja
    Anja is a feminine given name commonly used in various European countries, often considered a variant of Anna.
  • C. Sanna
    Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
  • D. Jolanda
    Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
  • E. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • 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: Senta
Triple: [Der fliegende Holländer, character, Senta]
Generated description
Senta is the devoted young woman in Richard Wagner’s opera "Der fliegende Holländer" whose obsessive compassion and self-sacrificial love offer redemption to the cursed Dutchman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Senta
Target entity description: Senta is the devoted young woman in Richard Wagner’s opera "Der fliegende Holländer" whose obsessive compassion and self-sacrificial love offer redemption to the cursed Dutchman.
  • A. Senta
    Senta is a town in northern Serbia, on the Tisa River, historically notable as the site of the 1697 Battle of Zenta between the Habsburg and Ottoman Empires.
  • B. Anja
    Anja is a feminine given name commonly used in various European countries, often considered a variant of Anna.
  • C. Sanna
    Sanna is a river in the Tyrol region of western Austria, known as a tributary of the Inn and a popular destination for whitewater sports.
  • D. Jolanda
    Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
  • E. Bauline
    Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
  • 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_69ca843057b48190a86730167f5d6b98 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd2eef7388190b95ffd02814f2d1f completed April 2, 2026, 2:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc69a5c88190ab7b108e1aab20ba completed April 5, 2026, 8:56 p.m.
NEDg Description generation batch_69d2cd901c148190afb27759cc176f89 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce71fa888190b8dd13df83a2cd78 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:05 p.m.