Triple

T11365077
Position Surface form Disambiguated ID Type / Status
Subject Olivier Assayas E269181 entity
Predicate notableWork P4 FINISHED
Object Clean
Clean is a 2004 drama film by Olivier Assayas that follows a woman’s struggle with addiction and her attempt to rebuild her life and reconnect with her son.
 E921583 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: Clean | Statement: [Olivier Assayas, notableWork, Clean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Clean
Context triple: [Olivier Assayas, notableWork, Clean]
  • A. Clean, Clean
    "Clean, Clean" is a lesser-known song by the British new wave band The Buggles, featured on their 1980 debut album "The Age of Plastic."
  • B. Clear
    Clear is a central Scientology attainment state in which a person is believed to be free from the influence of the reactive mind and its stored traumas.
  • C. Come Clean
    "Come Clean" is a pop-rock song best known as Hilary Duff’s 2004 hit single from her album "Metamorphosis."
  • D. Hands Clean
    "Hands Clean" is a 2002 pop-rock single by Alanis Morissette that narrates a complex, secretive past relationship from the perspective of an older man addressing his younger former lover.
  • E. LEAR
    LEAR (Low Energy Antiproton Ring) was a CERN facility designed to store and decelerate antiprotons for precision experiments in antimatter physics.
  • 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: Clean
Triple: [Olivier Assayas, notableWork, Clean]
Generated description
Clean is a 2004 drama film by Olivier Assayas that follows a woman’s struggle with addiction and her attempt to rebuild her life and reconnect with her son.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Clean
Target entity description: Clean is a 2004 drama film by Olivier Assayas that follows a woman’s struggle with addiction and her attempt to rebuild her life and reconnect with her son.
  • A. Clean, Clean
    "Clean, Clean" is a lesser-known song by the British new wave band The Buggles, featured on their 1980 debut album "The Age of Plastic."
  • B. Clear
    Clear is a central Scientology attainment state in which a person is believed to be free from the influence of the reactive mind and its stored traumas.
  • C. Come Clean
    "Come Clean" is a pop-rock song best known as Hilary Duff’s 2004 hit single from her album "Metamorphosis."
  • D. Hands Clean
    "Hands Clean" is a 2002 pop-rock single by Alanis Morissette that narrates a complex, secretive past relationship from the perspective of an older man addressing his younger former lover.
  • E. LEAR
    LEAR (Low Energy Antiproton Ring) was a CERN facility designed to store and decelerate antiprotons for precision experiments in antimatter physics.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea4589908190948a8225768e1eec completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e55667d4908190b6290135eba41e54 completed April 19, 2026, 10:25 p.m.
NEDg Description generation batch_69e562c6e7c8819098d22a6e0daa4a51 completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a472f0c819086c1cccaa5ca0ae7 completed April 19, 2026, 11:50 p.m.
Created at: April 8, 2026, 9:33 p.m.