Triple

T12134085
Position Surface form Disambiguated ID Type / Status
Subject Anne Dudek E289007 entity
Predicate name P16 FINISHED
Object Anne Dudek E289007 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: Anne Dudek | Statement: [Anne Dudek, name, Anne Dudek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Dudek
Context triple: [Anne Dudek, name, Anne Dudek]
  • A. Anne Dudek chosen
    Anne Dudek is an American actress known for her roles in television series such as House, Mad Men, and Covert Affairs, as well as various film and stage appearances.
  • B. Sarah Climenhaga
    Sarah Climenhaga is a Toronto-based activist and community advocate who ran as a candidate in the city’s 2018 mayoral election, focusing on issues like civic engagement, sustainability, and safer streets.
  • C. Maria Clements
    Maria Clements was the wife of American film and television actor Stanley Clements.
  • D. Sarah Podemski
    Sarah Podemski is a Canadian actress and producer known for her work in film and television, particularly in projects highlighting Indigenous stories and characters.
  • E. Heather Dubrow
    Heather Dubrow is an American actress and television personality best known as a cast member on the reality series "The Real Housewives of Orange County."
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63ee285208190a0183e30c749f955 completed May 2, 2026, 6:13 p.m.
Created at: April 8, 2026, 9:49 p.m.