Triple

T2009839
Position Surface form Disambiguated ID Type / Status
Subject Venus and Mars E43664 entity
Predicate containsSong P20452 FINISHED
Object Love in Song
"Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
 E225574 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: Love in Song | Statement: [Venus and Mars, containsSong, Love in Song]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Love in Song
Context triple: [Venus and Mars, containsSong, Love in Song]
  • A. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • B. True Love
    "True Love" is a popular romantic song by Cole Porter, introduced by Bing Crosby and Grace Kelly in the 1956 film musical *High Society* and later recorded by numerous artists.
  • 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. 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.
  • E. So in Love
    "So in Love" is a romantic ballad by Cole Porter, best known as one of the standout songs from his 1948 musical *Kiss Me, Kate*.
  • 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: Love in Song
Triple: [Venus and Mars, containsSong, Love in Song]
Generated description
"Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Love in Song
Target entity description: "Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
  • A. A Love Song
    "A Love Song" is a country-pop ballad recorded by Kenny Rogers that became one of his notable hits in the early 1980s.
  • B. True Love
    "True Love" is a popular romantic song by Cole Porter, introduced by Bing Crosby and Grace Kelly in the 1956 film musical *High Society* and later recorded by numerous artists.
  • 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. 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.
  • E. So in Love
    "So in Love" is a romantic ballad by Cole Porter, best known as one of the standout songs from his 1948 musical *Kiss Me, Kate*.
  • 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_69a88716e9f08190946313fdc949e3cf completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbdbe35688190ab99620859e071c6 completed March 7, 2026, 5:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ae5f0748190aecee47884c61ecc completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0bab9d7c8190acde67a6301e18ec completed March 8, 2026, 11:52 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c2fe1a88190867b1d533d58b7fc completed March 8, 2026, 11:54 p.m.
Created at: March 4, 2026, 7:37 p.m.