Triple

T21168090
Position Surface form Disambiguated ID Type / Status
Subject Jan Kiepura E521619 entity
Predicate notableWork P4 FINISHED
Object My Song for You
"My Song for You" is a 1934 British musical film starring Polish tenor Jan Kiepura, showcasing his operatic singing in a romantic storyline.
 E1469803 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: My Song for You | Statement: [Jan Kiepura, notableWork, My Song for You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: My Song for You
Context triple: [Jan Kiepura, notableWork, My Song for You]
  • A. The Song is for You
    "The Song is for You" is the lyrical, jazz-inflected third movement of John Adams’s orchestral work *City Noir*, evoking the atmosphere of classic film noir and mid-20th-century American urban nightlife.
  • B. A Song for You
    "A Song for You" is a soulful ballad, originally written and recorded by Leon Russell, that has become a widely covered standard in pop and R&B music.
  • C. My Song
    "My Song" is a musical work best known for being sampled in the track "I Wonder."
  • D. Song for Her
    "Song for Her" is a track by the British girl group Little Mix, featured on their 2016 album "Glory Days."
  • E. Singing My Song
    "Singing My Song" is a country music single by Tammy Wynette, known for its emotional lyrics and success on the country charts in the late 1960s.
  • 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: My Song for You
Triple: [Jan Kiepura, notableWork, My Song for You]
Generated description
"My Song for You" is a 1934 British musical film starring Polish tenor Jan Kiepura, showcasing his operatic singing in a romantic storyline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: My Song for You
Target entity description: "My Song for You" is a 1934 British musical film starring Polish tenor Jan Kiepura, showcasing his operatic singing in a romantic storyline.
  • A. The Song is for You
    "The Song is for You" is the lyrical, jazz-inflected third movement of John Adams’s orchestral work *City Noir*, evoking the atmosphere of classic film noir and mid-20th-century American urban nightlife.
  • B. A Song for You
    "A Song for You" is a soulful ballad, originally written and recorded by Leon Russell, that has become a widely covered standard in pop and R&B music.
  • C. My Song
    "My Song" is a musical work best known for being sampled in the track "I Wonder."
  • D. Song for Her
    "Song for Her" is a track by the British girl group Little Mix, featured on their 2016 album "Glory Days."
  • E. Singing My Song
    "Singing My Song" is a country music single by Tammy Wynette, known for its emotional lyrics and success on the country charts in the late 1960s.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72710c73881908d41aedff8984da9 completed April 21, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0975716e78819095e4ba54fbf78809 completed May 17, 2026, 7:59 a.m.
NEDg Description generation batch_6a09761477c481909c1c6e557a265360 completed May 17, 2026, 8:02 a.m.
NED2 Entity disambiguation (via description) batch_6a09768230a481908cc04374ed49f34d completed May 17, 2026, 8:04 a.m.
Created at: April 16, 2026, 3 p.m.