Triple

T2941815
Position Surface form Disambiguated ID Type / Status
Subject Blue Valentine E79403 entity
Predicate cinematographyBy P1953 FINISHED
Object Andrij Parekh
Andrij Parekh is an American cinematographer and director known for his intimate, naturalistic visual style in independent films and television.
E311380 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: Andrij Parekh | Statement: [Blue Valentine, cinematographyBy, Andrij Parekh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrij Parekh
Context triple: [Blue Valentine, cinematographyBy, Andrij Parekh]
  • A. Naveen Andrews
    Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
  • B. Adesh Samaroo
    Adesh Samaroo is a Trinidadian chutney and chutney-soca singer known for his popular party anthems and contributions to contemporary Indo-Caribbean music.
  • C. Amarjeet Sohi
    Amarjeet Sohi is a Canadian politician who serves as the mayor of Edmonton and is a former federal cabinet minister.
  • D. Sammy Rawal
    Sammy Rawal is a Canadian music video and visual director known for his vibrant, stylized work with prominent pop and electronic artists.
  • E. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • 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: Andrij Parekh
Triple: [Blue Valentine, cinematographyBy, Andrij Parekh]
Generated description
Andrij Parekh is an American cinematographer and director known for his intimate, naturalistic visual style in independent films and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrij Parekh
Target entity description: Andrij Parekh is an American cinematographer and director known for his intimate, naturalistic visual style in independent films and television.
  • A. Naveen Andrews
    Naveen Andrews is a British actor best known for his roles in the television series "Lost" and films such as "The English Patient."
  • B. Adesh Samaroo
    Adesh Samaroo is a Trinidadian chutney and chutney-soca singer known for his popular party anthems and contributions to contemporary Indo-Caribbean music.
  • C. Amarjeet Sohi
    Amarjeet Sohi is a Canadian politician who serves as the mayor of Edmonton and is a former federal cabinet minister.
  • D. Sammy Rawal
    Sammy Rawal is a Canadian music video and visual director known for his vibrant, stylized work with prominent pop and electronic artists.
  • E. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9870e5d08190b3b277ba823fe6a1 completed March 8, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b08689ec3481909d9f039069ff19c7 completed March 10, 2026, 9 p.m.
NEDg Description generation batch_69b0d241c7088190b440a47f4af54fbb completed March 11, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_69b0d6466e848190bea4215cc9d358c7 completed March 11, 2026, 2:41 a.m.
Created at: March 8, 2026, 2:56 p.m.