Triple

T7516774
Position Surface form Disambiguated ID Type / Status
Subject Magnum Force E177664 entity
Predicate stars P1956 FINISHED
Object Felton Perry E658655 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: Felton Perry | Statement: [Magnum Force, stars, Felton Perry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felton Perry
Context triple: [Magnum Force, stars, Felton Perry]
  • A. Felton Perry chosen
    Felton Perry is an American actor best known for his supporting roles in films of the 1970s and 1980s, including the RoboCop series and numerous television appearances.
  • B. Felton
    Felton is an English surname most widely recognized through actor Tom Felton, known for his role as Draco Malfoy in the Harry Potter film series.
  • C. Felton
    Felton is the middle name of legendary American basketball player and civil rights activist William Felton Russell.
  • D. Mr. Tappitt
    Mr. Tappitt is a fictional character in Anthony Trollope’s novel "Rachel Ray," serving as one of the townspeople involved in the social and romantic intrigues of the story.
  • E. Mr. Fletcher
    Mr. Fletcher is the video store owner in the comedy film "Be Kind Rewind," around whose struggling VHS rental shop the movie’s events and homemade remakes revolve.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f595148190b36649b0095bb898 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84621ba688190b85ee787b856b138 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:46 p.m.