Triple

T15904263
Position Surface form Disambiguated ID Type / Status
Subject Frenzy E385668 entity
Predicate starring P1507 FINISHED
Object Billie Whitelaw E72700 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: Billie Whitelaw | Statement: [Frenzy, starring, Billie Whitelaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billie Whitelaw
Context triple: [Frenzy, starring, Billie Whitelaw]
  • A. Billie Whitelaw chosen
    Billie Whitelaw was an acclaimed English actress renowned for her intense stage and screen performances, particularly in the plays of Samuel Beckett.
  • B. Peggy Ashcroft
    Peggy Ashcroft was a distinguished English stage and film actress renowned for her Shakespearean performances and her long, influential career in British theatre.
  • C. Celia Johnson
    Celia Johnson was a distinguished English actress best known for her nuanced, understated performances in classic British films such as "Brief Encounter."
  • D. Edith Lesley
    Edith Lesley was an American educator and founder of the teacher-training institution that evolved into Lesley University in Cambridge, Massachusetts.
  • E. 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.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1563f74d88190a3d92ca0ad46e867 completed April 16, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d982788819082fcdd8ab5c80513 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 4:52 a.m.