Triple

T10007917
Position Surface form Disambiguated ID Type / Status
Subject Jason Mraz E198298 entity
Predicate notableWork P4 FINISHED
Object You and I Both
"You and I Both" is a melodic pop song by American singer-songwriter Jason Mraz, known for its heartfelt lyrics and acoustic-driven sound from his early career.
 E836692 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: You and I Both | Statement: [Jason Mraz, notableWork, You and I Both]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You and I Both
Context triple: [Jason Mraz, notableWork, You and I Both]
  • A. You and Me
    "You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
  • B. You and Me
    "You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
  • C. You and I
    "You and I" is a 1923 stage comedy by American playwright Philip Barry that helped establish his reputation for sophisticated, witty drawing-room plays.
  • D. You and I
    "You and I" is a pop ballad best known as a co-written work by American singer-songwriter Dan Wilson.
  • E. You and I
    "You and I" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark," written by the Bee Gees and known for its soft rock and country-pop style.
  • 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: You and I Both
Triple: [Jason Mraz, notableWork, You and I Both]
Generated description
"You and I Both" is a melodic pop song by American singer-songwriter Jason Mraz, known for its heartfelt lyrics and acoustic-driven sound from his early career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: You and I Both
Target entity description: "You and I Both" is a melodic pop song by American singer-songwriter Jason Mraz, known for its heartfelt lyrics and acoustic-driven sound from his early career.
  • A. You and Me
    "You and Me" is a popular romantic rock ballad by the American band Lifehouse, known for its heartfelt lyrics and widespread radio success in the mid-2000s.
  • B. You and Me
    "You and Me" is a song featured on the soundtrack of the farming simulation video game Harvest Moon.
  • C. You and I
    "You and I" is a 1923 stage comedy by American playwright Philip Barry that helped establish his reputation for sophisticated, witty drawing-room plays.
  • D. You and I
    "You and I" is a pop ballad best known as a co-written work by American singer-songwriter Dan Wilson.
  • E. You and I
    "You and I" is a song by Kenny Rogers from his 1983 album "Eyes That See in the Dark," written by the Bee Gees and known for its soft rock and country-pop style.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd187fe481908556ea896c528ea4 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d28209678c8190898d923753bb4472 completed April 5, 2026, 3:38 p.m.
NEDg Description generation batch_69d28429fc308190873a7c8b2afce174 completed April 5, 2026, 3:47 p.m.
NED2 Entity disambiguation (via description) batch_69d2846a28a48190b5fc7303a7259f6b completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:52 p.m.