Triple

T20478608
Position Surface form Disambiguated ID Type / Status
Subject Loren Dean E502391 entity
Predicate notableWork P4 FINISHED
Object Say Anything... 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: Say Anything... | Statement: [Loren Dean, notableWork, Say Anything...]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Say Anything...
Context triple: [Loren Dean, notableWork, Say Anything...]
  • A. Say Anything... chosen
    Say Anything... is a 1989 romantic comedy-drama film, written and directed by Cameron Crowe, that has become a cult favorite largely for its iconic boombox serenade scene.
  • B. Say Anything
    "Say Anything" is a song included on the soundtrack of the romantic drama film "Safe Haven."
  • C. Reality Bites
    Reality Bites is a 1994 Gen X romantic comedy-drama film that follows a group of recent college graduates navigating love, work, and identity in post-college life.
  • D. The Breakfast Club
    The Breakfast Club is a 1985 coming-of-age teen film directed by John Hughes that follows five high school students from different cliques who bond during a Saturday detention.
  • E. The Breakfast Club
    The Breakfast Club is a popular American syndicated radio show and podcast known for its hip-hop focus, celebrity interviews, and culturally influential discussions on music and social issues.
  • 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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.