Triple

T13472901
Position Surface form Disambiguated ID Type / Status
Subject Susan Wokoma E318173 entity
Predicate name P16 FINISHED
Object Susan Wokoma E318173 NE FINISHED

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: Susan Wokoma | Statement: [Susan Wokoma, name, Susan Wokoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Wokoma
Context triple: [Susan Wokoma, name, Susan Wokoma]
  • A. Susan Wokoma chosen
    Susan Wokoma is a British actress and writer known for her comedic and dramatic roles in film, television, and theatre, including prominent performances in series like "Chewing Gum" and "Crazyhead."
  • B. Beth Dawes
    Beth Dawes is a married suburban woman in the television series "Mad Men" who becomes romantically involved with advertising executive Pete Campbell.
  • C. Caroline Pook
    Caroline Pook is a musician best known for her past role as a member of the English indie rock band Mystery Jets.
  • D. Rachel Andrew
    Rachel Andrew is a British web developer, author, and speaker renowned for her expertise in CSS layout and web standards, particularly in her work on modern CSS specifications.
  • E. Susan Moonsie
    Susan Moonsie is an American singer and performer best known as a member of Prince’s 1980s girl group Vanity 6.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf2447bc81908baf1f4b55095144 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462d97688190b5b817fff5973ceb completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:42 p.m.