Triple

T985193
Position Surface form Disambiguated ID Type / Status
Subject Love, Antosha E21262 entity
Predicate subjectOfFilm P22751 FINISHED
Object Anton Yelchin E3122 NE FINISHED

How this triple was built (3 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: Anton Yelchin | Statement: [Love, Antosha, subjectOfFilm, Anton Yelchin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Yelchin
Context triple: [Love, Antosha, subjectOfFilm, Anton Yelchin]
  • A. Anton Yelchin chosen
    Anton Yelchin was a Russian-American actor best known for playing Pavel Chekov in the rebooted Star Trek film series and for his acclaimed performances in independent movies before his untimely death in 2016.
  • B. Viktor Yelchin
    Viktor Yelchin is best known as the father of the late actor Anton Yelchin, who gained fame for his roles in films such as the rebooted Star Trek series.
  • C. Garrett Hedlund
    Garrett Hedlund is an American actor and singer known for roles in films such as "Tron: Legacy," "Friday Night Lights," and "Country Strong."
  • D. Emile Hirsch
    Emile Hirsch is an American actor known for his intense performances in films such as "Into the Wild," "Milk," and "Lone Survivor."
  • E. Kellan Lutz
    Kellan Lutz is an American actor and model best known for playing the vampire Emmett Cullen in the Twilight film series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectOfFilm
Context triple: [Love, Antosha, subjectOfFilm, Anton Yelchin]
  • A. partOfFilmographyOf
    Indicates that a work (such as a film, show, or role) is included in the body of screen-related works credited to a particular person.
  • B. producedFilm
    Indicates that one entity served as the producer (or production company) responsible for making or financing the creation of a particular film.
  • C. inFilmAndTV
    Indicates that the subject appears or is featured within the context of film and television works.
  • D. genreOfWorkDirected
    Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified genre.
  • E. filmType
    Indicates the specific category or genre that a film belongs to.
  • F. None of above. chosen

Provenance (5 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4959fe48190a78bd811cbc888ab completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac89f9d7688190836459b2453e5e2b completed March 7, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69a4b2abccbc8190a83af432f89eacf5 completed March 1, 2026, 9:42 p.m.
PDg Predicate description generation batch_69a4b38630848190bd3898a4f42018ad completed March 1, 2026, 9:45 p.m.
Created at: March 1, 2026, 7:41 p.m.