Triple

T20993662
Position Surface form Disambiguated ID Type / Status
Subject Fenella Woolgar E517088 entity
Predicate name P16 FINISHED
Object Fenella Woolgar NE NERFINISHED

How this triple was built (2 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: Fenella Woolgar | Statement: [Fenella Woolgar, name, Fenella Woolgar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fenella Woolgar
Context triple: [Fenella Woolgar, name, Fenella Woolgar]
  • A. Fenella Woolgar chosen
    Fenella Woolgar is a British actress known for her work in film, television, and theatre, often appearing in period dramas and literary adaptations.
  • B. Joan Scott
    Joan Scott was the wife of British statesman and former Prime Minister George Canning, known primarily for her role within this prominent political family in early 19th-century Britain.
  • C. Marilyn Strathern
    Marilyn Strathern is a prominent British social anthropologist known for her influential work on kinship, gender, and the anthropology of Melanesia and the United Kingdom.
  • D. Sonia Livingstone
    Sonia Livingstone is a prominent British social psychologist and media scholar known for her influential research on children’s media use, digital literacy, and online safety.
  • E. Anna Koppelman
    Anna Koppelman is the daughter of American screenwriter, director, and producer Brian Koppelman.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1d829081908de889c542734393 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.