Triple

T22002224
Position Surface form Disambiguated ID Type / Status
Subject Catherine Bell E543356 entity
Predicate birthName P65 FINISHED
Object Catherine Lisa Bell 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: Catherine Lisa Bell | Statement: [Catherine Bell, birthName, Catherine Lisa Bell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catherine Lisa Bell
Context triple: [Catherine Bell, birthName, Catherine Lisa Bell]
  • A. Catherine Bell
    Catherine Bell is a British former Olympic rower who competed for Great Britain in the 1990s.
  • B. Catherine Bell chosen
    Catherine Bell is an American actress best known for her role as Lieutenant Colonel Sarah "Mac" MacKenzie on the television series JAG.
  • C. Rachael Leigh Cook
    Rachael Leigh Cook is an American actress and producer best known for her breakout role in the 1999 teen romantic comedy film "She's All That."
  • D. Stefanie Pitt
    Stefanie Pitt is the daughter of British-Polish actress and horror icon Ingrid Pitt.
  • E. Laura Kugler
    Laura Kugler was the wife of Victor Kugler, one of the helpers who hid Anne Frank and her family during World War II.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1276bf2a48190910d9c27f1c5e74f completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:20 p.m.