Triple

T5271444
Position Surface form Disambiguated ID Type / Status
Subject Andrea Sperling E119266 entity
Predicate notableWork P4 FINISHED
Object Like Crazy E21254 NE FINISHED

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: Like Crazy | Statement: [Andrea Sperling, notableWork, Like Crazy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Like Crazy
Context triple: [Andrea Sperling, notableWork, Like Crazy]
  • A. Like Crazy chosen
    Like Crazy is a 2011 romantic drama film about a long-distance relationship strained by immigration issues, starring Anton Yelchin and Felicity Jones.
  • B. Crazy, Stupid, Love
    Crazy, Stupid, Love is a 2011 romantic comedy film that intertwines multiple love stories with humor and heart, featuring an ensemble cast including Steve Carell, Ryan Gosling, Julianne Moore, and Emma Stone.
  • C. Love Kills
    "Love Kills" is a song by the Ramones from their 1986 album *Animal Boy*, inspired by the story of Sid Vicious and Nancy Spungen.
  • D. Crazy/Beautiful
    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.
  • E. Let the Right One In
    Let the Right One In is a critically acclaimed 2008 Swedish romantic horror film about the bond between a bullied boy and a mysterious child vampire.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c1fa01081909d589686289b624b completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21aee16081909509f3b14b60a969 completed March 21, 2026, 10:54 p.m.
Created at: March 20, 2026, 1:51 p.m.