Triple

T4108893
Position Surface form Disambiguated ID Type / Status
Subject Robin McLeavy E88519 entity
Predicate hasRole P161 FINISHED
Object Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
E442753 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: Barbara Henning | Statement: [Robin McLeavy, hasRole, Barbara Henning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barbara Henning
Context triple: [Robin McLeavy, hasRole, Barbara Henning]
  • A. Barbara Blomberg
    Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
  • B. Barbara Rütting
    Barbara Rütting was a German actress and later author and politician, known for her roles in postwar European cinema and her environmental and animal rights activism.
  • C. Beverley Schäfer
    Beverley Schäfer is a South African politician who serves as the Deputy Speaker of the Western Cape Provincial Parliament.
  • D. Barbara Marx
    Barbara Marx was an American model and socialite best known as the fourth and final wife of singer Frank Sinatra.
  • E. Barbara Scholz
    Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
  • 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: Barbara Henning
Triple: [Robin McLeavy, hasRole, Barbara Henning]
Generated description
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Barbara Henning
Target entity description: Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
  • A. Barbara Blomberg
    Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
  • B. Barbara Rütting
    Barbara Rütting was a German actress and later author and politician, known for her roles in postwar European cinema and her environmental and animal rights activism.
  • C. Beverley Schäfer
    Beverley Schäfer is a South African politician who serves as the Deputy Speaker of the Western Cape Provincial Parliament.
  • D. Barbara Marx
    Barbara Marx was an American model and socialite best known as the fourth and final wife of singer Frank Sinatra.
  • E. Barbara Scholz
    Barbara Scholz is a philosopher of linguistics known for her influential critiques of nativist theories of language acquisition, particularly the poverty of the stimulus argument.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af01da2b88819088a45401c0ec743a completed March 9, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b627b362508190905af163e9dbc1b4 completed March 15, 2026, 3:29 a.m.
NEDg Description generation batch_69b628fe10908190978dd0361628f54f completed March 15, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_69b629ab52c881909f7fbef6f77b5bc4 completed March 15, 2026, 3:38 a.m.
Created at: March 9, 2026, 3:40 p.m.