Triple

T22802542
Position Surface form Disambiguated ID Type / Status
Subject No Blade of Grass E564435 entity
Predicate castMember P1668 FINISHED
Object John Hamill
John Hamill is a British actor known for his roles in 1960s and 1970s film and television, often appearing in genre and exploitation movies.
E1557178 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: John Hamill | Statement: [No Blade of Grass, castMember, John Hamill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Hamill
Context triple: [No Blade of Grass, castMember, John Hamill]
  • A. John Hamill
    John Hamill is a relatively obscure individual whose primary distinguishing feature in this context is sharing the surname "Hamill" with others of that name.
  • B. John Hammill
    John Hammill is a musician best known as a member of the influential American noise rock band Pussy Galore.
  • C. Paul Hennessy
    Paul Hennessy is the overprotective yet well-meaning father and newspaper columnist at the center of the sitcom "8 Simple Rules."
  • D. Kevin O’Hare
    Kevin O’Hare is a British former dancer and prominent ballet director best known for leading London’s Royal Ballet.
  • E. John Doherty
    John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • 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: John Hamill
Triple: [No Blade of Grass, castMember, John Hamill]
Generated description
John Hamill is a British actor known for his roles in 1960s and 1970s film and television, often appearing in genre and exploitation movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John Hamill
Target entity description: John Hamill is a British actor known for his roles in 1960s and 1970s film and television, often appearing in genre and exploitation movies.
  • A. John Hamill
    John Hamill is a relatively obscure individual whose primary distinguishing feature in this context is sharing the surname "Hamill" with others of that name.
  • B. John Hammill
    John Hammill is a musician best known as a member of the influential American noise rock band Pussy Galore.
  • C. Paul Hennessy
    Paul Hennessy is the overprotective yet well-meaning father and newspaper columnist at the center of the sitcom "8 Simple Rules."
  • D. Kevin O’Hare
    Kevin O’Hare is a British former dancer and prominent ballet director best known for leading London’s Royal Ballet.
  • E. John Doherty
    John Doherty is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • 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_69e245823f4c8190ade442cdcc2c224a completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17cdf1e308190a05d0f61856be544 completed April 29, 2026, 3:37 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ba7a2394481909a7829a69df92863 completed May 18, 2026, 11:58 p.m.
NEDg Description generation batch_6a0ba8560e8c819098ffd01e1834a137 completed May 19, 2026, 12:01 a.m.
NED2 Entity disambiguation (via description) batch_6a0ba9c4bf048190abd9887498fa3621 completed May 19, 2026, 12:07 a.m.
Created at: April 17, 2026, 3:31 p.m.