Triple

T23191459
Position Surface form Disambiguated ID Type / Status
Subject Kiss and Make Up E579747 entity
Predicate title P38 FINISHED
Object Kiss and Make Up 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: Kiss and Make Up | Statement: [Kiss and Make Up, title, Kiss and Make Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kiss and Make Up
Context triple: [Kiss and Make Up, title, Kiss and Make Up]
  • A. Kiss and Make Up chosen
    "Kiss and Make Up" is a song featured on the album "Under the Blue Moon."
  • B. Let's Kiss and Make Up
    "Let's Kiss and Make Up" is a popular song by George and Ira Gershwin, best known for its inclusion in the musical comedy "Funny Face."
  • C. Break Up to Make Up
    "Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
  • D. A Kiss
    "A Kiss" is a song by the hip hop duo Bad Meets Evil, featured on their 2011 EP *Hell: The Sequel*.
  • E. Last Kiss
    "Last Kiss" is a popular rock ballad famously covered by Pearl Jam, known for its tragic narrative and success as one of the band's biggest hit singles.
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd777c08190bf79e38844fedf27 completed April 29, 2026, 4:57 a.m.
Created at: April 17, 2026, 4:05 p.m.