Triple

T22756331
Position Surface form Disambiguated ID Type / Status
Subject Eleanor Geisman E562852 entity
Predicate notableWork P4 FINISHED
Object Too Young to Kiss 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: Too Young to Kiss | Statement: [Eleanor Geisman, 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: [Eleanor Geisman, notableWork, Too Young to Kiss]
  • A. Too Young to Kiss chosen
    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.
  • B. Just a Kiss
    "Just a Kiss" is a country-pop ballad by American group Lady A that became one of their signature romantic hits in the early 2010s.
  • C. Just a Kiss
    Just a Kiss is a 2002 dark romantic comedy film known for its stylized, surreal storytelling and ensemble cast.
  • D. Kiss Kiss
    Kiss Kiss is a darkly comic short story collection by Roald Dahl, featuring macabre twists and unsettling explorations of human nature.
  • E. Kiss Kiss
    "Kiss Kiss" is a 2007 R&B/hip-hop single by Chris Brown featuring T-Pain, known for its catchy hook, dance-focused production, and commercial success on the Billboard charts.
  • 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_69e24551ec7881909a9c924dbea155f6 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179bd22588190ac724a656194f5b9 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:25 p.m.