Triple

T11770533
Position Surface form Disambiguated ID Type / Status
Subject Fleur Forsyte E279883 entity
Predicate portrayedBy P1507 FINISHED
Object Susan Hampshire E440435 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 Hampshire | Statement: [Fleur Forsyte, portrayedBy, Susan Hampshire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Susan Hampshire
Context triple: [Fleur Forsyte, portrayedBy, Susan Hampshire]
  • A. Susan Hampshire chosen
    Susan Hampshire is an English actress best known for her award-winning performances in British television dramas and period adaptations.
  • B. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • C. Helen Mary Warnock
    Helen Mary Warnock was a prominent British philosopher and educationalist best known for her influential work on ethics, special education, and public policy.
  • D. Tim Pigott-Smith
    Tim Pigott-Smith was a British character actor known for his versatile performances in film, television, and theatre, including prominent roles in works like "The Jewel in the Crown" and numerous period dramas.
  • E. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55c9f988190b203b66a28c767ae completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f280e9e20081909ccb09a2144a68b4 completed April 29, 2026, 10:06 p.m.
Created at: April 8, 2026, 9:41 p.m.