Triple

T21445254
Position Surface form Disambiguated ID Type / Status
Subject Juliette Binoche as Anna Barton E529054 entity
Predicate characterName P36851 FINISHED
Object Anna Barton 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: Anna Barton | Statement: [Juliette Binoche as Anna Barton, characterName, Anna Barton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Barton
Context triple: [Juliette Binoche as Anna Barton, characterName, Anna Barton]
  • A. Anna Barton chosen
    Anna Barton is the enigmatic and emotionally intense young woman at the center of the British psychological drama film "Damage," whose affair with a politician leads to devastating consequences.
  • B. Anne Barton
    Anne Barton was a distinguished British literary scholar and Shakespearean critic renowned for her influential work on Elizabethan and Jacobean drama.
  • C. Anne Barton
    Anne Barton was an American actress best known for her character roles in mid-20th-century film and television.
  • D. Frances Bagot
    Frances Bagot was the mother of British soldier and writer John Bagot Glubb, better known as Glubb Pasha.
  • E. Rowena Cade
    Rowena Cade was a British theatre enthusiast and visionary who designed and built the open-air Minack Theatre into the cliffs of Cornwall largely by hand.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e8b706fd588190bf397a58976f7d98 completed April 22, 2026, 11:54 a.m.
Created at: April 16, 2026, 6:05 p.m.