Triple

T19752576
Position Surface form Disambiguated ID Type / Status
Subject Lucinda Jenney E474416 entity
Predicate notableWork P4 FINISHED
Object Crazy/Beautiful 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: Crazy/Beautiful | Statement: [Lucinda Jenney, notableWork, Crazy/Beautiful]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crazy/Beautiful
Context triple: [Lucinda Jenney, notableWork, Crazy/Beautiful]
  • A. Crazy/Beautiful chosen
    Crazy/Beautiful is a 2001 romantic drama film about the intense relationship between a troubled congressman’s daughter and a disciplined Latino student in Los Angeles.
  • B. Beautiful Madness
    "Beautiful Madness" is a song by the electronic rock project Sinematic, known for its cinematic soundscapes and emotionally charged production.
  • C. Scared of Beautiful
    "Scared of Beautiful" is a song by American singer Brandy, featured on her sixth studio album "Two Eleven."
  • D. Beautiful Mess
    "Beautiful Mess" is a popular country song by American band Diamond Rio, known for its catchy melody and portrayal of love's chaotic charm.
  • E. Crazy Love
    Crazy Love is a soulful ballad by Van Morrison, celebrated for its tender lyrics and smooth, romantic melody.
  • 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_69d8e51940a0819087bd2996f98da668 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6529bcb8c8190bcca61a53be86757 completed April 20, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:48 p.m.