Triple

T4453006
Position Surface form Disambiguated ID Type / Status
Subject Love and Theft E97656 entity
Predicate hasTrack P3284 FINISHED
Object Bye and Bye
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
 E439770 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: Bye and Bye | Statement: [Love and Theft, hasTrack, Bye and Bye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bye and Bye
Context triple: [Love and Theft, hasTrack, Bye and Bye]
  • A. Bye Bye
    "Bye Bye" is a song by the French electronic music duo E=MC².
  • B. Neither One of Us (Wants to Be the First to Say Goodbye)
    "Neither One of Us (Wants to Be the First to Say Goodbye)" is a 1973 soul ballad by Gladys Knight & the Pips, renowned for its emotive vocals and portrayal of a failing relationship.
  • C. As Tears Go By
    "As Tears Go By" is a melancholic 1960s pop ballad associated with The Rolling Stones, known for its orchestral arrangement and reflective lyrics about lost youth.
  • D. Everything to Me
    "Everything to Me" is an R&B ballad by American singer Monica that showcases her powerful vocals and emotional storytelling about love and devotion.
  • E. Hall Pass
    Hall Pass is a 2011 American comedy film about two married men granted a week off from marriage to pursue other women, directed by the Farrelly brothers.
  • 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: Bye and Bye
Triple: [Love and Theft, hasTrack, Bye and Bye]
Generated description
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bye and Bye
Target entity description: "Bye and Bye" is a country song recorded by the American duo Love and Theft.
  • A. Bye Bye
    "Bye Bye" is a song by the French electronic music duo E=MC².
  • B. Neither One of Us (Wants to Be the First to Say Goodbye)
    "Neither One of Us (Wants to Be the First to Say Goodbye)" is a 1973 soul ballad by Gladys Knight & the Pips, renowned for its emotive vocals and portrayal of a failing relationship.
  • C. As Tears Go By
    "As Tears Go By" is a melancholic 1960s pop ballad associated with The Rolling Stones, known for its orchestral arrangement and reflective lyrics about lost youth.
  • D. Everything to Me
    "Everything to Me" is an R&B ballad by American singer Monica that showcases her powerful vocals and emotional storytelling about love and devotion.
  • E. Hall Pass
    Hall Pass is a 2011 American comedy film about two married men granted a week off from marriage to pursue other women, directed by the Farrelly brothers.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f49dc081908727af81b886c08d completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6138ea77881908381e9ea8ad2b7fe completed March 15, 2026, 2:03 a.m.
NEDg Description generation batch_69b61465bb4081908a638a908c31c489 completed March 15, 2026, 2:07 a.m.
NED2 Entity disambiguation (via description) batch_69b6156db4a081909054f7db172315e9 completed March 15, 2026, 2:11 a.m.
Created at: March 12, 2026, 11:33 p.m.