Triple

T13997773
Position Surface form Disambiguated ID Type / Status
Subject Boston Legal E336744 entity
Predicate actorInRole P42172 FINISHED
Object Monica Potter as Lori Colson E349967 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: Monica Potter as Lori Colson | Statement: [Boston Legal, actorInRole, Monica Potter as Lori Colson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica Potter as Lori Colson
Context triple: [Boston Legal, actorInRole, Monica Potter as Lori Colson]
  • A. Monica Potter chosen
    Monica Potter is an American actress best known for her roles in films like "Patch Adams" and the television drama series "Parenthood."
  • B. Monica Wright
    Monica Wright is a fiercely competitive and talented basketball player whose evolving romance and athletic ambitions drive the coming-of-age sports drama in the film "Love & Basketball."
  • C. Monica Calhoun
    Monica Calhoun is an American actress known for her work in film and television, particularly in popular African-American ensemble dramas and comedies.
  • D. Monica Metz
    Monica Metz is known as the sister of American actress and singer Chrissy Metz.
  • E. Monica Devereux
    Monica Devereux is an American actress and choreographer known for her work in films such as "Adventures in Babysitting" and "Home Alone."
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb68ba88190bfaf10777d607bf3 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9f1f6c8190af7ddac920661bd5 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.