Triple

T12234274
Position Surface form Disambiguated ID Type / Status
Subject Evolution E291551 entity
Predicate hasPart P35 FINISHED
Object “Sweet and Simple”
“Sweet and Simple” is a song featured on the album *Evolution*.
 E970690 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: “Sweet and Simple” | Statement: [Evolution, hasPart, “Sweet and Simple”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Sweet and Simple”
Context triple: [Evolution, hasPart, “Sweet and Simple”]
  • A. “Sweet and Dandy”
    “Sweet and Dandy” is a classic ska and rocksteady song by Toots and the Maytals, celebrated as one of the defining tracks of early reggae music.
  • B. "Sweet Love"
    "Sweet Love" is a smooth, soulful R&B ballad by Anita Baker that became one of her signature hits in the mid-1980s.
  • C. Sweet and Lovely
    "Sweet and Lovely" is a popular jazz and pop standard from the early 1930s that has been widely recorded by numerous vocalists and instrumentalists.
  • D. "The Simple Way"
    "The Simple Way" is a Christian intentional community and nonprofit organization in Philadelphia dedicated to living out principles of simplicity, solidarity with the poor, and neighborhood-based activism.
  • E. Simple and Sweet
    "Simple and Sweet" is a notable track by The Definition, recognized for its straightforward, melodic style and emotionally direct lyrics.
  • 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: “Sweet and Simple”
Triple: [Evolution, hasPart, “Sweet and Simple”]
Generated description
“Sweet and Simple” is a song featured on the album *Evolution*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Sweet and Simple”
Target entity description: “Sweet and Simple” is a song featured on the album *Evolution*.
  • A. “Sweet and Dandy”
    “Sweet and Dandy” is a classic ska and rocksteady song by Toots and the Maytals, celebrated as one of the defining tracks of early reggae music.
  • B. "Sweet Love"
    "Sweet Love" is a smooth, soulful R&B ballad by Anita Baker that became one of her signature hits in the mid-1980s.
  • C. Sweet and Lovely
    "Sweet and Lovely" is a popular jazz and pop standard from the early 1930s that has been widely recorded by numerous vocalists and instrumentalists.
  • D. "The Simple Way"
    "The Simple Way" is a Christian intentional community and nonprofit organization in Philadelphia dedicated to living out principles of simplicity, solidarity with the poor, and neighborhood-based activism.
  • E. Simple and Sweet
    "Simple and Sweet" is a notable track by The Definition, recognized for its straightforward, melodic style and emotionally direct lyrics.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe9dd6c819092fa7bced2eea069 completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.