Triple

T6605381
Position Surface form Disambiguated ID Type / Status
Subject Jacob Latimore E149103 entity
Predicate notableRole P22 FINISHED
Object Jeff in Sleight
Jeff in *Sleight* is the young street magician and protagonist of the 2016 sci-fi crime drama film, whose struggles with crime and responsibility drive the story.
 E601808 NE FINISHED

How this triple was built (4 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: Jeff in Sleight | Statement: [Jacob Latimore, notableRole, Jeff in Sleight]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeff in Sleight
Context triple: [Jacob Latimore, notableRole, Jeff in Sleight]
  • A. The Jake
    The Jake is the popular nickname for Progressive Field, the Major League Baseball stadium in Cleveland, Ohio, home of the Cleveland Guardians.
  • B. Sleights
    Sleights is a village in North Yorkshire, England, situated on the edge of the North York Moors near the River Esk.
  • C. The Joe
    The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
  • D. The Emcee
    The Emcee is the flamboyant, unsettling master of ceremonies at Berlin’s Kit Kat Klub in the musical "Cabaret," symbolizing the decadence and looming menace of pre-Nazi Germany.
  • E. The Trick
    The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Jeff in Sleight
Triple: [Jacob Latimore, notableRole, Jeff in Sleight]
Generated description
Jeff in *Sleight* is the young street magician and protagonist of the 2016 sci-fi crime drama film, whose struggles with crime and responsibility drive the story.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeff in Sleight
Target entity description: Jeff in *Sleight* is the young street magician and protagonist of the 2016 sci-fi crime drama film, whose struggles with crime and responsibility drive the story.
  • A. The Jake
    The Jake is the popular nickname for Progressive Field, the Major League Baseball stadium in Cleveland, Ohio, home of the Cleveland Guardians.
  • B. Sleights
    Sleights is a village in North Yorkshire, England, situated on the edge of the North York Moors near the River Esk.
  • C. The Joe
    The Joe is a famous indoor arena in Detroit, Michigan, best known as the longtime home of the NHL’s Detroit Red Wings.
  • D. The Emcee
    The Emcee is the flamboyant, unsettling master of ceremonies at Berlin’s Kit Kat Klub in the musical "Cabaret," symbolizing the decadence and looming menace of pre-Nazi Germany.
  • E. The Trick
    The Trick is a British drama film in which George MacKay stars in a story inspired by the real-life "Climategate" email hacking scandal.
  • F. None of above. chosen

Provenance (5 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_69c687eaa7508190bb58ce2aa02039b3 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af13151c81909b68fa6c77e1c482 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbc8f1308190a4afcf10a5a7105e completed March 27, 2026, 6:26 p.m.
NEDg Description generation batch_69c6cd09753c81909df166156ffbf82a completed March 27, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce9ba47c819091496c87117e7a03 completed March 27, 2026, 6:38 p.m.
Created at: March 27, 2026, 1:56 p.m.