Triple

T17904286
Position Surface form Disambiguated ID Type / Status
Subject Andrea Arnold E447660 entity
Predicate notableWork P4 FINISHED
Object Dog
"Dog" is a short film by British director Andrea Arnold that explores themes of adolescence, vulnerability, and harsh urban reality.
 E1294817 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: Dog | Statement: [Andrea Arnold, notableWork, Dog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dog
Context triple: [Andrea Arnold, notableWork, Dog]
  • A. Dog
    Dog is a 2022 American road-trip comedy-drama film starring and co-directed by Channing Tatum, following a former Army Ranger tasked with transporting a fallen soldier’s military working dog to his funeral.
  • B. Dog
    Dog is a domesticated canine species known for its loyalty, companionship, and diverse breeds kept worldwide as pets, workers, and service animals.
  • C. Pet
    Pet is a psychological thriller film starring Dominic Monaghan as a disturbed man who imprisons a woman in an attempt to control and "save" her.
  • D. Cat
    Cat is a feline character in Maurice Ravel’s opera "L’enfant et les sortilèges," known for its expressive, anthropomorphic role in the magical, surreal narrative.
  • E. Cat
    Cat is the NATO reporting name for the Antonov An-10, a Soviet four-engined turboprop airliner introduced in the late 1950s.
  • 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: Dog
Triple: [Andrea Arnold, notableWork, Dog]
Generated description
"Dog" is a short film by British director Andrea Arnold that explores themes of adolescence, vulnerability, and harsh urban reality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dog
Target entity description: "Dog" is a short film by British director Andrea Arnold that explores themes of adolescence, vulnerability, and harsh urban reality.
  • A. Dog
    Dog is a 2022 American road-trip comedy-drama film starring and co-directed by Channing Tatum, following a former Army Ranger tasked with transporting a fallen soldier’s military working dog to his funeral.
  • B. Dog
    Dog is a domesticated canine species known for its loyalty, companionship, and diverse breeds kept worldwide as pets, workers, and service animals.
  • C. Pet
    Pet is a psychological thriller film starring Dominic Monaghan as a disturbed man who imprisons a woman in an attempt to control and "save" her.
  • D. Cat
    Cat is a feline character in Maurice Ravel’s opera "L’enfant et les sortilèges," known for its expressive, anthropomorphic role in the magical, surreal narrative.
  • E. Cat
    Cat is the NATO reporting name for the Antonov An-10, a Soviet four-engined turboprop airliner introduced in the late 1950s.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9a9cfc8190879fc36dfdeb562b completed April 19, 2026, 9:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a031b2bc9bc819096bf2d2f2a94910b completed May 12, 2026, 12:20 p.m.
NEDg Description generation batch_6a031c515ea88190975748bfa7bdba8f completed May 12, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a031cf81ef081909996636854e7a820 completed May 12, 2026, 12:28 p.m.
Created at: April 10, 2026, 10:19 a.m.