Triple

T15219548
Position Surface form Disambiguated ID Type / Status
Subject Anita Morris E363728 entity
Predicate name P16 FINISHED
Object Anita Morris E363728 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: Anita Morris | Statement: [Anita Morris, name, Anita Morris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anita Morris
Context triple: [Anita Morris, name, Anita Morris]
  • A. Anita Morris chosen
    Anita Morris was an American actress, singer, and dancer known for her sultry screen presence and scene-stealing roles in film, television, and on Broadway.
  • B. Eileen Fulton
    Eileen Fulton is an American actress best known for originating and playing the iconic character Lisa Grimaldi on the long-running soap opera "As the World Turns" for several decades.
  • C. Catherine Greer
    Catherine Greer is a notable individual who shares the surname Greer, recognized enough to be specifically identified as a bearer of the name.
  • D. Barbara Hackett
    Barbara Hackett is a Canadian businesswoman and home renovator best known as the wife of former Toronto mayor John Tory.
  • E. Maureen Arthur
    Maureen Arthur was an American actress and singer best known for her comedic roles in film, television, and Broadway during the 1960s and 1970s.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a005804f5c08190b545bc8b65e953f7 completed May 10, 2026, 10:03 a.m.
Created at: April 10, 2026, 3:11 a.m.