Triple

T12374422
Position Surface form Disambiguated ID Type / Status
Subject Masterminds E295084 entity
Predicate starring P1507 FINISHED
Object Jill Jane Clements
Jill Jane Clements is an American actress known for her supporting roles in film and television, including a part in the comedy heist movie "Masterminds."
E1061467 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: Jill Jane Clements | Statement: [Masterminds, starring, Jill Jane Clements]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jill Jane Clements
Context triple: [Masterminds, starring, Jill Jane Clements]
  • A. Cynthia Millar
    Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
  • B. Jill Bilcock
    Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
  • C. Gillian Hanna
    Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
  • D. Sandra Jolley
    Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
  • E. Maureen Liddell
    Maureen Liddell is the daughter of Australian wireless telegraphy pioneer and women's technical education advocate Florence Violet McKenzie.
  • 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: Jill Jane Clements
Triple: [Masterminds, starring, Jill Jane Clements]
Generated description
Jill Jane Clements is an American actress known for her supporting roles in film and television, including a part in the comedy heist movie "Masterminds."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jill Jane Clements
Target entity description: Jill Jane Clements is an American actress known for her supporting roles in film and television, including a part in the comedy heist movie "Masterminds."
  • A. Cynthia Millar
    Cynthia Millar is a British composer and ondes Martenot specialist known for her work on numerous film and television scores.
  • B. Jill Bilcock
    Jill Bilcock is an acclaimed Australian film editor known for her work on major films such as "Moulin Rouge!", "Romeo + Juliet," and "Elizabeth."
  • C. Gillian Hanna
    Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
  • D. Sandra Jolley
    Sandra Jolley was the wife of American businessman and quality management expert Philip Crosby.
  • E. Maureen Liddell
    Maureen Liddell is the daughter of Australian wireless telegraphy pioneer and women's technical education advocate Florence Violet McKenzie.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa8ca7c8190b3f8e9c2ec23e837 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b05474bc8190a42e2a9540055c47 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b11b824881909ed068c7d608d956 completed May 3, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f7b1e0ab948190a046a68aa5e029a6 completed May 3, 2026, 8:36 p.m.
Created at: April 8, 2026, 9:54 p.m.