Triple

T10954564
Position Surface form Disambiguated ID Type / Status
Subject Music in the Air E258809 entity
Predicate hasSong P20452 FINISHED
Object And Love Was Born
"And Love Was Born" is a song from the 1932 Jerome Kern–Oscar Hammerstein II musical "Music in the Air."
 E894949 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: And Love Was Born | Statement: [Music in the Air, hasSong, And Love Was Born]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: And Love Was Born
Context triple: [Music in the Air, hasSong, And Love Was Born]
  • A. For Love Alone
    "For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
  • B. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • C. Let Love
    Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
  • D. Let Love
    Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
  • E. More Love
    "More Love" is a 1980 soft rock song by American singer Kim Carnes that became one of her early charting hits before her breakthrough with "Bette Davis Eyes."
  • 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: And Love Was Born
Triple: [Music in the Air, hasSong, And Love Was Born]
Generated description
"And Love Was Born" is a song from the 1932 Jerome Kern–Oscar Hammerstein II musical "Music in the Air."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: And Love Was Born
Target entity description: "And Love Was Born" is a song from the 1932 Jerome Kern–Oscar Hammerstein II musical "Music in the Air."
  • A. For Love Alone
    "For Love Alone" is a romance novel written by Ivana Trump that draws on her experiences in high society and glamorous international settings.
  • B. Here’s Love
    "Here’s Love" is a 1963 Broadway musical by Meredith Willson, adapted from the classic film "Miracle on 34th Street."
  • C. Let Love
    Let Love is a 2019 R&B and soul album by American rapper and actor Common that explores themes of spirituality, personal growth, and emotional vulnerability.
  • D. Let Love
    Let Love is a music project or release associated with Boom Bishop, recognized as a notable work in his career.
  • E. More Love
    "More Love" is a 1980 soft rock song by American singer Kim Carnes that became one of her early charting hits before her breakthrough with "Bette Davis Eyes."
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770ff718c81909d4baebea3b56b83 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c64089c8190a9c0aa63d7e7dc64 completed April 17, 2026, 1:57 p.m.
NEDg Description generation batch_69e24543bd2c8190a3c807baa76c30f6 completed April 17, 2026, 2:35 p.m.
NED2 Entity disambiguation (via description) batch_69e25d11ef24819091e730ae2416a058 completed April 17, 2026, 4:17 p.m.
Created at: April 8, 2026, 9:23 p.m.