Triple

T10633683
Position Surface form Disambiguated ID Type / Status
Subject Alan Baumgarten E250522 entity
Predicate notableWork P4 FINISHED
Object All About Steve E738830 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: All About Steve | Statement: [Alan Baumgarten, notableWork, All About Steve]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: All About Steve
Context triple: [Alan Baumgarten, notableWork, All About Steve]
  • A. All About Steve chosen
    All About Steve is a 2009 American romantic comedy film starring Sandra Bullock as an eccentric crossword puzzle creator who becomes obsessed with a television cameraman.
  • B. Real Steel
    Real Steel is a 2011 science-fiction sports drama film set in a near-future world of robot boxing, known for its blend of action, emotional storytelling, and cutting-edge visual effects.
  • C. The Rookie
    The Rookie is a 2002 sports drama film based on the true story of high school teacher and former pitcher Jim Morris, who makes an unexpected late-in-life debut in Major League Baseball.
  • D. The Rookie
    The Rookie is a 1959 American comedy film starring and co-written by comedian Frank Stanley.
  • E. Hoops
    Hoops is a television series associated with producer and manager Michael Rotenberg.
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfab47bc819086684edc1b6dce74 completed April 8, 2026, 11:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bbd64d8819089d55af875d39e45 completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:02 p.m.