Triple

T14944862
Position Surface form Disambiguated ID Type / Status
Subject Green Wing E372630 entity
Predicate createdBy P806 FINISHED
Object Victoria Pile
Victoria Pile is a British television writer, director, and producer best known for creating the surreal hospital sitcom "Green Wing."
 E1231664 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: Victoria Pile | Statement: [Green Wing, createdBy, Victoria Pile]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Victoria Pile
Context triple: [Green Wing, createdBy, Victoria Pile]
  • A. Helen Dawes
    Helen Dawes is a key supporting character in the period drama film "Albert Nobbs," involved in the emotional and social complexities surrounding the title character's secret life.
  • B. Sarah Angliss
    Sarah Angliss is a British composer, multi-instrumentalist, and sound artist known for blending electronics, robotics, and early music influences in her experimental works.
  • C. Mary Pugh
    Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
  • D. Marjorie Parry
    Marjorie Parry was the wife of renowned English conductor and cellist Sir John Barbirolli.
  • E. Helena Pickard
    Helena Pickard was a British stage and film actress active in the early to mid-20th century.
  • 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: Victoria Pile
Triple: [Green Wing, createdBy, Victoria Pile]
Generated description
Victoria Pile is a British television writer, director, and producer best known for creating the surreal hospital sitcom "Green Wing."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Victoria Pile
Target entity description: Victoria Pile is a British television writer, director, and producer best known for creating the surreal hospital sitcom "Green Wing."
  • A. Helen Dawes
    Helen Dawes is a key supporting character in the period drama film "Albert Nobbs," involved in the emotional and social complexities surrounding the title character's secret life.
  • B. Sarah Angliss
    Sarah Angliss is a British composer, multi-instrumentalist, and sound artist known for blending electronics, robotics, and early music influences in her experimental works.
  • C. Mary Pugh
    Mary Pugh is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Pugh.
  • D. Marjorie Parry
    Marjorie Parry was the wife of renowned English conductor and cellist Sir John Barbirolli.
  • E. Helena Pickard
    Helena Pickard was a British stage and film actress active in the early to mid-20th century.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68d20048190a403af85fe43dede completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00a502c82881908d5b6f7c23e8a403 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a5b3ce848190a73f06d9708bfc85 completed May 10, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6734d008190bb0a5aa28826e73a completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 2:39 a.m.