Triple

T9999392
Position Surface form Disambiguated ID Type / Status
Subject Paul Greengrass E197283 entity
Predicate spouse P13 FINISHED
Object Joan Greengrass
Joan Greengrass is known as the wife of British film director and screenwriter Paul Greengrass.
 E833907 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: Joan Greengrass | Statement: [Paul Greengrass, spouse, Joan Greengrass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Joan Greengrass
Context triple: [Paul Greengrass, spouse, Joan Greengrass]
  • A. Julie Neville
    Julie Neville is a British businesswoman and nutrition expert best known as the wife of former footballer and coach Phil Neville.
  • B. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • C. Gillian Hanna
    Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
  • D. Patricia O'Flynn
    Patricia O'Flynn is known as the spouse of Canadian politician George Strauss.
  • E. Pam Hogg
    Pam Hogg is a Scottish fashion designer and artist known for her avant-garde, punk-influenced creations and for dressing numerous high-profile musicians and celebrities.
  • 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: Joan Greengrass
Triple: [Paul Greengrass, spouse, Joan Greengrass]
Generated description
Joan Greengrass is known as the wife of British film director and screenwriter Paul Greengrass.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Joan Greengrass
Target entity description: Joan Greengrass is known as the wife of British film director and screenwriter Paul Greengrass.
  • A. Julie Neville
    Julie Neville is a British businesswoman and nutrition expert best known as the wife of former footballer and coach Phil Neville.
  • B. Gillian Redfearn
    Gillian Redfearn is a prominent British science fiction and fantasy editor and publishing director, recognized for her influential work in genre publishing.
  • C. Gillian Hanna
    Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
  • D. Patricia O'Flynn
    Patricia O'Flynn is known as the spouse of Canadian politician George Strauss.
  • E. Pam Hogg
    Pam Hogg is a Scottish fashion designer and artist known for her avant-garde, punk-influenced creations and for dressing numerous high-profile musicians and celebrities.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8dc9c081909b6d20909ada09cf completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2584bd6cc8190841353847dd2f00c completed April 5, 2026, 12:40 p.m.
NEDg Description generation batch_69d259016fb08190aadf9d4cee0b42d7 completed April 5, 2026, 12:43 p.m.
NED2 Entity disambiguation (via description) batch_69d259a2e48481908bd8e4829f676618 completed April 5, 2026, 12:46 p.m.
Created at: March 30, 2026, 8:51 p.m.