Triple

T22127695
Position Surface form Disambiguated ID Type / Status
Subject Crazy Ex-Girlfriend E546832 entity
Predicate single P3283 FINISHED
Object More Like Her
"More Like Her" is a song from the musical comedy-drama TV series Crazy Ex-Girlfriend that explores themes of insecurity and comparison in relationships.
 E1520391 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: More Like Her | Statement: [Crazy Ex-Girlfriend, single, More Like Her]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: More Like Her
Context triple: [Crazy Ex-Girlfriend, single, More Like Her]
  • A. What’s She Really Like
    "What’s She Really Like" is a song performed by Elvis Presley, best known from his early 1960s film and soundtrack work.
  • B. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • C. Without Her
    "Without Her" is a melancholic pop song written and performed by Harry Nilsson, featured on his 1967 album *Pandemonium Shadow Show*.
  • D. And She Was
    "And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
  • E. Pieces of Her
    Pieces of Her is a thriller drama television series, based on Karin Slaughter’s novel, that follows a woman who discovers shocking secrets about her seemingly ordinary mother after a violent incident.
  • 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: More Like Her
Triple: [Crazy Ex-Girlfriend, single, More Like Her]
Generated description
"More Like Her" is a song from the musical comedy-drama TV series Crazy Ex-Girlfriend that explores themes of insecurity and comparison in relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: More Like Her
Target entity description: "More Like Her" is a song from the musical comedy-drama TV series Crazy Ex-Girlfriend that explores themes of insecurity and comparison in relationships.
  • A. What’s She Really Like
    "What’s She Really Like" is a song performed by Elvis Presley, best known from his early 1960s film and soundtrack work.
  • B. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • C. Without Her
    "Without Her" is a melancholic pop song written and performed by Harry Nilsson, featured on his 1967 album *Pandemonium Shadow Show*.
  • D. And She Was
    "And She Was" is a 1985 new wave song by Talking Heads, known for its surreal lyrics and upbeat, guitar-driven sound.
  • E. Pieces of Her
    Pieces of Her is a thriller drama television series, based on Karin Slaughter’s novel, that follows a woman who discovers shocking secrets about her seemingly ordinary mother after a violent incident.
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12982eaa08190933d3036c020f562 completed April 28, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f254dc08190a0a5376ff16cc570 completed May 18, 2026, 4:01 a.m.
NEDg Description generation batch_6a0a92181a388190bdd14cafee3b1ccd completed May 18, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0a9302dc80819091422fadcacfe2ad completed May 18, 2026, 4:18 a.m.
Created at: April 16, 2026, 8:32 p.m.