Triple

T5830919
Position Surface form Disambiguated ID Type / Status
Subject June Allyson E129341 entity
Predicate notableWork P4 FINISHED
Object Too Young to Kiss
Too Young to Kiss is a 1951 romantic comedy film starring June Allyson and Van Johnson, centered on a pianist who pretends to be a child prodigy to advance her career.
E547948 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: Too Young to Kiss | Statement: [June Allyson, notableWork, Too Young to Kiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Too Young to Kiss
Context triple: [June Allyson, notableWork, Too Young to Kiss]
  • A. Kiss Kiss
    Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
  • B. Kissin’ You
    "Kissin’ You" is an R&B ballad by the American girl group Total, known for its smooth harmonies and romantic, slow-jam style.
  • C. Just One Kiss
    "Just One Kiss" is a song featured on the album "The Way I See It."
  • D. Kiss the Girl
    "Kiss the Girl" is a popular romantic song from Disney's animated film The Little Mermaid, featured during a scene where Sebastian encourages Prince Eric to kiss Ariel.
  • E. One Kiss
    "One Kiss" is a song featured on the 1980 new wave album *Barking at Airplanes* by American singer-songwriter Kim Carnes.
  • 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: Too Young to Kiss
Triple: [June Allyson, notableWork, Too Young to Kiss]
Generated description
Too Young to Kiss is a 1951 romantic comedy film starring June Allyson and Van Johnson, centered on a pianist who pretends to be a child prodigy to advance her career.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Too Young to Kiss
Target entity description: Too Young to Kiss is a 1951 romantic comedy film starring June Allyson and Van Johnson, centered on a pianist who pretends to be a child prodigy to advance her career.
  • A. Kiss Kiss
    Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
  • B. Kissin’ You
    "Kissin’ You" is an R&B ballad by the American girl group Total, known for its smooth harmonies and romantic, slow-jam style.
  • C. Just One Kiss
    "Just One Kiss" is a song featured on the album "The Way I See It."
  • D. Kiss the Girl
    "Kiss the Girl" is a popular romantic song from Disney's animated film The Little Mermaid, featured during a scene where Sebastian encourages Prince Eric to kiss Ariel.
  • E. One Kiss
    "One Kiss" is a song featured on the 1980 new wave album *Barking at Airplanes* by American singer-songwriter Kim Carnes.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346ac31c8190bbd28444f75da875 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09866fd248190b4248a993051b732 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0995672f08190acce2a14266ccf6a completed March 23, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c099fefd6c8190ae1b4480ef133f02 completed March 23, 2026, 1:40 a.m.
Created at: March 22, 2026, 3:54 p.m.