Triple

T1801102
Position Surface form Disambiguated ID Type / Status
Subject Trouble in Store E39719 entity
Predicate starring P1507 FINISHED
Object Moira Lister
Moira Lister was a South African-born British actress known for her work in mid-20th-century film, theatre, and radio comedy.
E224926 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: Moira Lister | Statement: [Trouble in Store, starring, Moira Lister]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moira Lister
Context triple: [Trouble in Store, starring, Moira Lister]
  • A. Thea Sharrock
    Thea Sharrock is a British theatre and film director known for her acclaimed stage productions and for directing the feature film "Me Before You."
  • B. Joanna Blunt
    Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
  • C. Kate Durham
    Kate Durham is an Australian artist and activist known for her work in visual arts and her advocacy on social justice and refugee issues.
  • D. Sophie Hunter
    Sophie Hunter is a British theatre and opera director, playwright, and former actress known for her avant-garde stage work and marriage to actor Benedict Cumberbatch.
  • E. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • 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: Moira Lister
Triple: [Trouble in Store, starring, Moira Lister]
Generated description
Moira Lister was a South African-born British actress known for her work in mid-20th-century film, theatre, and radio comedy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Moira Lister
Target entity description: Moira Lister was a South African-born British actress known for her work in mid-20th-century film, theatre, and radio comedy.
  • A. Thea Sharrock
    Thea Sharrock is a British theatre and film director known for her acclaimed stage productions and for directing the feature film "Me Before You."
  • B. Joanna Blunt
    Joanna Blunt is the mother of British actress Emily Blunt and a member of the Blunt family connected to the entertainment industry.
  • C. Kate Durham
    Kate Durham is an Australian artist and activist known for her work in visual arts and her advocacy on social justice and refugee issues.
  • D. Sophie Hunter
    Sophie Hunter is a British theatre and opera director, playwright, and former actress known for her avant-garde stage work and marriage to actor Benedict Cumberbatch.
  • E. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • 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_69a88632aa588190ba3978fde0db5bbd completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa656ad5d4819090e677ad137b0cd1 completed March 6, 2026, 5:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ab743fc8190b181929109642e36 completed March 8, 2026, 11:48 p.m.
NEDg Description generation batch_69ae0b62dd048190acf6f9d76e5bfd47 completed March 8, 2026, 11:50 p.m.
NED2 Entity disambiguation (via description) batch_69ae0be695cc819093c237e19de9b731 completed March 8, 2026, 11:53 p.m.
Created at: March 4, 2026, 7:32 p.m.