Triple

T7143255
Position Surface form Disambiguated ID Type / Status
Subject Rita Tushingham E166501 entity
Predicate name P16 FINISHED
Object Rita Tushingham E166501 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: Rita Tushingham | Statement: [Rita Tushingham, name, Rita Tushingham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rita Tushingham
Context triple: [Rita Tushingham, name, Rita Tushingham]
  • A. Rita Tushingham chosen
    Rita Tushingham is an English actress known for her distinctive, wide-eyed look and acclaimed performances in 1960s British cinema, including key roles in films of the British New Wave.
  • B. Eleanor Bron
    Eleanor Bron is a British actress and writer known for her distinctive, often imperious screen presence in film, television, and theatre.
  • C. Anna Massey
    Anna Massey was an acclaimed English actress known for her nuanced performances in film, television, and theatre, including notable roles in psychological dramas and literary adaptations.
  • D. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • E. Claire Bloom
    Claire Bloom is an acclaimed English actress known for her distinguished stage and screen career, including prominent roles in classic films, television dramas, and Shakespearean productions.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d027d0819088598b2a9f71b1b7 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d37833ec819084035e07fc35198b completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:46 p.m.