Triple

T19322826
Position Surface form Disambiguated ID Type / Status
Subject Liebestod E483268 entity
Predicate alternateDesignation P48076 FINISHED
Object Mild und leise, wie er lächelt
"Mild und leise, wie er lächelt" is the opening line and common German title of Isolde’s final aria, the Liebestod, from Richard Wagner’s opera *Tristan und Isolde*.
 E1370120 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: Mild und leise, wie er lächelt | Statement: [Liebestod, alternateDesignation, Mild und leise, wie er lächelt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mild und leise, wie er lächelt
Context triple: [Liebestod, alternateDesignation, Mild und leise, wie er lächelt]
  • A. Smiles
    Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
  • B. Smiles
    Smiles is a 1930 musical comedy film featuring songs by composer Vincent Youmans.
  • C. Smile Please
    "Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
  • D. بسمة
    بسمة هي كاتبة عربية تُعرف بأعمالها الأدبية المكتوبة باللغة العربية.
  • E. Just Smile!
    Just Smile! is the cheerful marketing slogan used by Chiquita Brands International to promote its bananas and other produce.
  • 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: Mild und leise, wie er lächelt
Triple: [Liebestod, alternateDesignation, Mild und leise, wie er lächelt]
Generated description
"Mild und leise, wie er lächelt" is the opening line and common German title of Isolde’s final aria, the Liebestod, from Richard Wagner’s opera *Tristan und Isolde*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mild und leise, wie er lächelt
Target entity description: "Mild und leise, wie er lächelt" is the opening line and common German title of Isolde’s final aria, the Liebestod, from Richard Wagner’s opera *Tristan und Isolde*.
  • A. Smiles
    Smiles is a Brazilian frequent-flyer and loyalty program that allows members to earn and redeem miles across flights, partner airlines, and various retail and service partners.
  • B. Smiles
    Smiles is a 1930 musical comedy film featuring songs by composer Vincent Youmans.
  • C. Smile Please
    "Smile Please" is a song from Stevie Wonder’s acclaimed 1974 soul and R&B album *Fulfillingness' First Finale*.
  • D. بسمة
    بسمة هي كاتبة عربية تُعرف بأعمالها الأدبية المكتوبة باللغة العربية.
  • E. Just Smile!
    Just Smile! is the cheerful marketing slogan used by Chiquita Brands International to promote its bananas and other produce.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8948948190b76a384041333509 completed April 20, 2026, 11:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a071bda87e0819087367a103619bba8 completed May 15, 2026, 1:12 p.m.
NEDg Description generation batch_6a071ce942d88190b7ab2d10e783f72e completed May 15, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a071d40117081909777e2d141f58aea completed May 15, 2026, 1:18 p.m.
Created at: April 10, 2026, 1:32 p.m.