Triple

T10680571
Position Surface form Disambiguated ID Type / Status
Subject The Old Nest E251739 entity
Predicate starring P1507 FINISHED
Object Claire McDowell E407571 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: Claire McDowell | Statement: [The Old Nest, starring, Claire McDowell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claire McDowell
Context triple: [The Old Nest, starring, Claire McDowell]
  • A. Claire McDowell chosen
    Claire McDowell was an American silent film actress known for her prolific work in early cinema, often appearing in D.W. Griffith productions.
  • B. Christine Brennan
    Christine Brennan is an American sports journalist, author, and television commentator known for her coverage of the Olympics and advocacy for women in sports.
  • C. Amanda Naughton
    Amanda Naughton is an American actress best known for her starring role on the 1990s television series "Remember WENN."
  • D. Rebecca Feely
    Rebecca Feely is known as the wife of former NFL placekicker and sports commentator Jay Feely.
  • E. Claire Craig
    Claire Craig is a British academic and former civil servant who serves as the Provost (head) of The Queen’s College, University of Oxford.
  • 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fcc1b8d4819082fde22db39d8b24 completed April 9, 2026, 1:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee85e044e881909d426f7121dd89e1 completed April 26, 2026, 9:38 p.m.
Created at: April 8, 2026, 9:10 p.m.