Triple

T23103193
Position Surface form Disambiguated ID Type / Status
Subject Princess Mia E576088 entity
Predicate loveInterest P7325 FINISHED
Object Michael Moscovitz 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: Michael Moscovitz | Statement: [Princess Mia, loveInterest, Michael Moscovitz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Moscovitz
Context triple: [Princess Mia, loveInterest, Michael Moscovitz]
  • A. Michael Moscovitz chosen
    Michael Moscovitz is a central character in Meg Cabot’s "The Princess Diaries" series, known as Mia Thermopolis’s witty, musically inclined romantic interest and eventual boyfriend.
  • B. Jonathan Rothberg
    Jonathan Rothberg is an American scientist, inventor, and entrepreneur best known for pioneering next-generation DNA sequencing technologies and founding multiple genomics companies.
  • C. Philip Benenson
    Philip Benenson is a notable individual recognized for bearing the Benenson surname, associated with a family name linked to various prominent figures.
  • D. Michael Shvo
    Michael Shvo is a high-profile real estate developer and art collector known for leading luxury property projects in major global cities.
  • E. Michael Winkelman
    Michael Winkelman was an American child actor best known for playing Little Luke McCoy on the classic television sitcom "The Real McCoys."
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18deaacbc8190a97e64e1cf39cdd6 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.