Triple

T14080115
Position Surface form Disambiguated ID Type / Status
Subject Annalise Keating E338842 entity
Predicate mentorOf P7251 FINISHED
Object Michaela Pratt E1081280 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: Michaela Pratt | Statement: [Annalise Keating, mentorOf, Michaela Pratt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michaela Pratt
Context triple: [Annalise Keating, mentorOf, Michaela Pratt]
  • A. Michaela Pratt chosen
    Michaela Pratt is a highly ambitious and intelligent law student and later attorney in the TV series "How to Get Away with Murder," known for her drive to succeed and complex moral struggles.
  • B. Michaela Dietz
    Michaela Dietz is an American voice actress and actress best known for voicing Amethyst in the animated television series "Steven Universe."
  • C. Kirsten Nelson
    Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
  • D. Jorja Curtright
    Jorja Curtright was an American actress and novelist best known for her work in mid-20th-century film and television and for being married to writer Sidney Sheldon.
  • E. Madeleine Stowe
    Madeleine Stowe is an American actress best known for her film roles in the 1990s, including "The Last of the Mohicans" and "12 Monkeys," and later for her acclaimed television work.
  • 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_69d81c687b0c819087fd9ed4198403f8 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5c5f759c81909bfd60ab35b0937b completed April 14, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7dc62b081909f3c9259295064cf completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 10:21 p.m.