Triple

T22127698
Position Surface form Disambiguated ID Type / Status
Subject Crazy Ex-Girlfriend E546832 entity
Predicate notableTrack P8087 FINISHED
Object More Like Her NE NERFINISHED

How this triple was built (2 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, notableTrack, 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, notableTrack, More Like Her]
  • A. More Like Her chosen
    "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.
  • B. 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.
  • C. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • D. Without Her
    "Without Her" is a melancholic pop song written and performed by Harry Nilsson, featured on his 1967 album *Pandemonium Shadow Show*.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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.
Created at: April 16, 2026, 8:32 p.m.