Triple

T13071997
Position Surface form Disambiguated ID Type / Status
Subject No Reservations E329479 entity
Predicate producer P490 FINISHED
Object Kerry Heysen
Kerry Heysen is a film and television producer known for her work on projects such as the drama film "No Reservations."
 E1020974 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: Kerry Heysen | Statement: [No Reservations, producer, Kerry Heysen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kerry Heysen
Context triple: [No Reservations, producer, Kerry Heysen]
  • A. Murray Bail
    Murray Bail is an acclaimed Australian novelist and short story writer known for his inventive narratives and contributions to contemporary Australian literature.
  • B. Paul Hasluck
    Paul Hasluck was an Australian politician, historian, and diplomat who served as the 17th Governor-General of Australia from 1969 to 1974.
  • C. John Stothart
    John Stothart is a film editor known for his work on the romantic drama "Truly, Madly, Deeply."
  • D. Les Murray
    Les Murray was a renowned Australian poet and literary critic celebrated for his vivid depictions of rural life and exploration of national identity.
  • E. Arthur Boyd
    Arthur Boyd was a prominent Australian painter and ceramicist known for his expressive, often allegorical works that explored themes of humanity, landscape, and social justice.
  • 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: Kerry Heysen
Triple: [No Reservations, producer, Kerry Heysen]
Generated description
Kerry Heysen is a film and television producer known for her work on projects such as the drama film "No Reservations."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kerry Heysen
Target entity description: Kerry Heysen is a film and television producer known for her work on projects such as the drama film "No Reservations."
  • A. Murray Bail
    Murray Bail is an acclaimed Australian novelist and short story writer known for his inventive narratives and contributions to contemporary Australian literature.
  • B. Paul Hasluck
    Paul Hasluck was an Australian politician, historian, and diplomat who served as the 17th Governor-General of Australia from 1969 to 1974.
  • C. John Stothart
    John Stothart is a film editor known for his work on the romantic drama "Truly, Madly, Deeply."
  • D. Les Murray
    Les Murray was a renowned Australian poet and literary critic celebrated for his vivid depictions of rural life and exploration of national identity.
  • E. Arthur Boyd
    Arthur Boyd was a prominent Australian painter and ceramicist known for his expressive, often allegorical works that explored themes of humanity, landscape, and social justice.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980ee6130819095d835e7ff6a8c5b completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d606ac6481908d18a288d5eed472 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6dae595908190b27980e48514cda5 completed May 3, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69f6db8f68a4819091d8e67d9c8eec81 completed May 3, 2026, 5:22 a.m.
Created at: April 9, 2026, 9 p.m.