Triple

T11105570
Position Surface form Disambiguated ID Type / Status
Subject Blake Lively E262618 entity
Predicate notableWork P4 FINISHED
Object All I See Is You
All I See Is You is a psychological drama film starring Blake Lively as a blind woman whose life and marriage change dramatically after she regains her sight.
 E905539 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: All I See Is You | Statement: [Blake Lively, notableWork, All I See Is You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All I See Is You
Context triple: [Blake Lively, notableWork, All I See Is You]
  • A. All I See Is You
    "All I See Is You" is a 1966 pop ballad by Dusty Springfield, known for its lush orchestration and emotive vocal performance that became one of her notable hits.
  • B. I See You
    "I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
  • C. 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.
  • D. 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.
  • E. You See Me
    "You See Me" is a song by the American indie rock band Camp.
  • 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: All I See Is You
Triple: [Blake Lively, notableWork, All I See Is You]
Generated description
All I See Is You is a psychological drama film starring Blake Lively as a blind woman whose life and marriage change dramatically after she regains her sight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: All I See Is You
Target entity description: All I See Is You is a psychological drama film starring Blake Lively as a blind woman whose life and marriage change dramatically after she regains her sight.
  • A. All I See Is You
    "All I See Is You" is a 1966 pop ballad by Dusty Springfield, known for its lush orchestration and emotive vocal performance that became one of her notable hits.
  • B. I See You
    "I See You" is a country song by Luke Bryan featured on his 2013 album *Crash My Party*.
  • C. 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.
  • D. 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.
  • E. You See Me
    "You See Me" is a song by the American indie rock band Camp.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a64319481909926cebfdd47184d completed April 9, 2026, 12:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d7016908190bb7aadadacb5b50f completed April 19, 2026, 1:18 a.m.
NEDg Description generation batch_69e42f3dd02c8190b40bc692c24b2ff4 completed April 19, 2026, 1:26 a.m.
NED2 Entity disambiguation (via description) batch_69e4375eaf448190a17f8df1e83145e0 completed April 19, 2026, 2:01 a.m.
Created at: April 8, 2026, 9:27 p.m.