Triple

T13993384
Position Surface form Disambiguated ID Type / Status
Subject Escape E336635 entity
Predicate includesTrack P3284 FINISHED
Object Love to See You Cry
"Love to See You Cry" is a pop song by Spanish singer Enrique Iglesias, released as a single from his early-2000s English-language album.
E1072822 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: Love to See You Cry | Statement: [Escape, includesTrack, Love to See You Cry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love to See You Cry
Context triple: [Escape, includesTrack, Love to See You Cry]
  • A. You See Me Crying
    "You See Me Crying" is a power ballad by American rock band Aerosmith, featured as the closing track on their 1975 album "Toys in the Attic."
  • B. No Tears Left to Cry
    "No Tears Left to Cry" is a 2018 pop single by Ariana Grande that marked her return to music with an uplifting, resilient message following the Manchester Arena bombing.
  • C. Cry for You
    "Cry for You" is a 1993 R&B ballad by Jodeci known for its emotional vocals and signature New Jack Swing-influenced production.
  • D. Don’t Cry
    "Don’t Cry" is a pop ballad by Britney Spears from her 2013 album "Britney Jean."
  • E. Don’t Cry
    "Don’t Cry" is a popular rock ballad by the American band Guns N’ Roses, known for its emotional lyrics and powerful guitar work.
  • 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: Love to See You Cry
Triple: [Escape, includesTrack, Love to See You Cry]
Generated description
"Love to See You Cry" is a pop song by Spanish singer Enrique Iglesias, released as a single from his early-2000s English-language album.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Love to See You Cry
Target entity description: "Love to See You Cry" is a pop song by Spanish singer Enrique Iglesias, released as a single from his early-2000s English-language album.
  • A. You See Me Crying
    "You See Me Crying" is a power ballad by American rock band Aerosmith, featured as the closing track on their 1975 album "Toys in the Attic."
  • B. No Tears Left to Cry
    "No Tears Left to Cry" is a 2018 pop single by Ariana Grande that marked her return to music with an uplifting, resilient message following the Manchester Arena bombing.
  • C. Cry for You
    "Cry for You" is a 1993 R&B ballad by Jodeci known for its emotional vocals and signature New Jack Swing-influenced production.
  • D. Don’t Cry
    "Don’t Cry" is a pop ballad by Britney Spears from her 2013 album "Britney Jean."
  • E. Don’t Cry
    "Don’t Cry" is a popular rock ballad by the American band Guns N’ Roses, known for its emotional lyrics and powerful guitar work.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb3b5d881909f15a1e08bb202f3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9a7e8c8190a0fd0cd67ff50741 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbad64934481908ad35366ded9c7a0 completed May 6, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_69fbae1c5c988190bcc800d701bccca3 completed May 6, 2026, 9:09 p.m.
Created at: April 9, 2026, 10:19 p.m.