Triple

T5727644
Position Surface form Disambiguated ID Type / Status
Subject Harry Warren E126303 entity
Predicate notableWork P4 FINISHED
Object The More I See You
"The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
 E542186 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: The More I See You | Statement: [Harry Warren, notableWork, The More I See You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The More I See You
Context triple: [Harry Warren, notableWork, The More I See You]
  • A. I See You
    "I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
  • B. Come See Me
    "Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
  • C. Can You See Me
    "Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
  • D. When I Saw You
    "When I Saw You" is a song featured on Mariah Carey's 1995 album "Daydream."
  • E. What I See
    "What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
  • 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: The More I See You
Triple: [Harry Warren, notableWork, The More I See You]
Generated description
"The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The More I See You
Target entity description: "The More I See You" is a popular romantic song from the 1940s, widely recorded by jazz and pop artists and known for its enduring status as a Great American Songbook standard.
  • A. I See You
    "I See You" is the end-credits love theme song from the film *Avatar*, performed by Leona Lewis and composed by James Horner and Simon Franglen.
  • B. Come See Me
    "Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
  • C. Can You See Me
    "Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
  • D. When I Saw You
    "When I Saw You" is a song featured on Mariah Carey's 1995 album "Daydream."
  • E. What I See
    "What I See" is a photography book by Brooklyn Beckham showcasing his personal images and visual perspective on his life and surroundings.
  • 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_69c0082f723881908ce8bb13a0c0f8b7 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0250c0ca081909340abae204cc226 completed March 22, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a8a1d08819080f071eb22db54d3 completed March 22, 2026, 9:09 p.m.
NEDg Description generation batch_69c05e02edc48190938613946f19df01 completed March 22, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c0621308588190a0d7a86bb804134d completed March 22, 2026, 9:41 p.m.
Created at: March 22, 2026, 3:47 p.m.