Triple

T6907697
Position Surface form Disambiguated ID Type / Status
Subject Weimar Classicism E159851 entity
Predicate hasWork P6260 FINISHED
Object Xenia
Xenia is a collection of epigrammatic poems co-written by Johann Wolfgang von Goethe and Friedrich Schiller that satirically targeted their literary opponents during the Weimar Classicism period.
 E628377 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: Xenia | Statement: [Weimar Classicism, hasWork, Xenia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Xenia
Context triple: [Weimar Classicism, hasWork, Xenia]
  • A. Xenia
    Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
  • B. Xenia Onatopp
    Xenia Onatopp is a sadistic and lethal assassin from the James Bond film "GoldenEye," notorious for killing her victims with her powerful thighs.
  • C. Xeniya
    Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
  • D. Xania
    Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
  • E. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • 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: Xenia
Triple: [Weimar Classicism, hasWork, Xenia]
Generated description
Xenia is a collection of epigrammatic poems co-written by Johann Wolfgang von Goethe and Friedrich Schiller that satirically targeted their literary opponents during the Weimar Classicism period.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Xenia
Target entity description: Xenia is a collection of epigrammatic poems co-written by Johann Wolfgang von Goethe and Friedrich Schiller that satirically targeted their literary opponents during the Weimar Classicism period.
  • A. Xenia
    Xenia is a female given name of Greek origin, commonly used in Slavic and other European cultures.
  • B. Xenia Onatopp
    Xenia Onatopp is a sadistic and lethal assassin from the James Bond film "GoldenEye," notorious for killing her victims with her powerful thighs.
  • C. Xeniya
    Xeniya is a feminine given name, commonly used in Slavic countries as a variant of the name Xenia.
  • D. Xania
    Xania is a glamorous pop star and key supporting character in the 2006 comedy film "The Pink Panther."
  • E. Sitra
    Sitra is a small island in Bahrain known for its residential communities, industrial facilities, and role in the country’s oil and gas infrastructure.
  • 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_69c68839ccb88190b4aa5cc1aca3448f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9bd7b3c8190842eb83679c322d5 completed March 27, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c75124cab88190a1510d77ed61c945 completed March 28, 2026, 3:55 a.m.
NEDg Description generation batch_69c7521b93f0819096660800c1166f5d completed March 28, 2026, 3:59 a.m.
NED2 Entity disambiguation (via description) batch_69c75264e65081908859551feaf1006c completed March 28, 2026, 4 a.m.
Created at: March 27, 2026, 2:25 p.m.