Triple

T4245833
Position Surface form Disambiguated ID Type / Status
Subject Akira Kurosawa E95525 entity
Predicate notableWork P4 FINISHED
Object High and Low
High and Low is a 1963 Japanese crime thriller film by Akira Kurosawa that explores class disparity and moral conflict through a tense kidnapping drama.
 E424008 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: High and Low | Statement: [Akira Kurosawa, notableWork, High and Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: High and Low
Context triple: [Akira Kurosawa, notableWork, High and Low]
  • A. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • B. Too High
    "Too High" is a socially conscious soul and funk song by Stevie Wonder that opens his acclaimed 1973 album Innervisions, addressing drug abuse through inventive lyrics and complex musical arrangements.
  • C. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • D. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • E. Double or Nothing
    Double or Nothing is a collaborative hip-hop album by producer Metro Boomin and rapper Big Sean, known for its dark, melodic trap production and introspective lyrics.
  • 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: High and Low
Triple: [Akira Kurosawa, notableWork, High and Low]
Generated description
High and Low is a 1963 Japanese crime thriller film by Akira Kurosawa that explores class disparity and moral conflict through a tense kidnapping drama.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: High and Low
Target entity description: High and Low is a 1963 Japanese crime thriller film by Akira Kurosawa that explores class disparity and moral conflict through a tense kidnapping drama.
  • A. How Low
    "How Low" is a popular hip-hop single by American rapper Ludacris, known for its catchy hook and heavy club-oriented production.
  • B. Too High
    "Too High" is a socially conscious soul and funk song by Stevie Wonder that opens his acclaimed 1973 album Innervisions, addressing drug abuse through inventive lyrics and complex musical arrangements.
  • C. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • D. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • E. Double or Nothing
    Double or Nothing is a collaborative hip-hop album by producer Metro Boomin and rapper Big Sean, known for its dark, melodic trap production and introspective lyrics.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8db5bc8190873c5ae3753aaa58 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87993648190b2969505cdf3c554 completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a966f154819083f7864b154f7518 completed March 14, 2026, 6:31 p.m.
NED2 Entity disambiguation (via description) batch_69b5aa0ed71c81908d9bf530b4557984 completed March 14, 2026, 6:33 p.m.
Created at: March 12, 2026, 11:05 p.m.