Triple

T22767547
Position Surface form Disambiguated ID Type / Status
Subject Showdown in Little Tokyo E563168 entity
Predicate screenwriter P2831 FINISHED
Object Calvin Levels
Calvin Levels is an American actor and screenwriter known for his work in film and television since the 1980s.
E1553432 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: Calvin Levels | Statement: [Showdown in Little Tokyo, screenwriter, Calvin Levels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calvin Levels
Context triple: [Showdown in Little Tokyo, screenwriter, Calvin Levels]
  • A. Calvin
    Calvin was a leading Protestant Reformation theologian whose doctrines of predestination and divine sovereignty profoundly shaped later figures like Samuel Hopkins and the broader Reformed tradition.
  • B. Calvin
    Calvin is the given name of Calvin Coolidge, the 30th president of the United States known for his quiet demeanor and pro-business policies during the 1920s.
  • C. Calvin
    Calvin is the central protagonist of the "Gully" story, around whom the main events and character dynamics revolve.
  • D. Calvin
    Calvin is a small rural municipality located within Ontario’s Nipissing District in Canada.
  • E. Calvin
    Calvin is the given name of Calvin Johnson, the former NFL wide receiver widely regarded as one of the greatest to ever play the position.
  • 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: Calvin Levels
Triple: [Showdown in Little Tokyo, screenwriter, Calvin Levels]
Generated description
Calvin Levels is an American actor and screenwriter known for his work in film and television since the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calvin Levels
Target entity description: Calvin Levels is an American actor and screenwriter known for his work in film and television since the 1980s.
  • A. Calvin
    Calvin is the given name of Calvin Coolidge, the 30th president of the United States known for his quiet demeanor and pro-business policies during the 1920s.
  • B. Calvin
    Calvin was a leading Protestant Reformation theologian whose doctrines of predestination and divine sovereignty profoundly shaped later figures like Samuel Hopkins and the broader Reformed tradition.
  • C. Calvin
    Calvin is the central protagonist of the "Gully" story, around whom the main events and character dynamics revolve.
  • D. Calvin
    Calvin is the given name of Calvin Johnson, the former NFL wide receiver widely regarded as one of the greatest to ever play the position.
  • E. Calvin
    Calvin is a small rural municipality located within Ontario’s Nipissing District in Canada.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a81d3348190b005a43a5e03d406 completed April 29, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b981f3a1c819083a7d498290af751 completed May 18, 2026, 10:52 p.m.
NEDg Description generation batch_6a0b98d159688190a5ec037ee8692f33 completed May 18, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0b99b6e7e88190995319351374f97c completed May 18, 2026, 10:59 p.m.
Created at: April 17, 2026, 3:27 p.m.