Triple

T21686854
Position Surface form Disambiguated ID Type / Status
Subject Just Friends E535251 entity
Predicate producer P490 FINISHED
Object Anthony Rhulen 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: Anthony Rhulen | Statement: [Just Friends, producer, Anthony Rhulen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anthony Rhulen
Context triple: [Just Friends, producer, Anthony Rhulen]
  • A. Anthony Rhulen chosen
    Anthony Rhulen was an American film producer known for financing and producing independent movies, including genre and thriller projects in the 2000s and 2010s.
  • B. Peter Mengede
    Peter Mengede is an Australian guitarist best known as a founding member of the New York alternative metal band Helmet.
  • C. Paul Frenzeny
    Paul Frenzeny was a 19th-century French-born illustrator and artist known for his detailed engravings and book illustrations, particularly in American and British publications.
  • D. George Roundy
    George Roundy is the charismatic, womanizing Beverly Hills hairdresser portrayed by Warren Beatty in the 1975 film "Shampoo."
  • E. Ronald Fleury
    Ronald Fleury is the fictional lead FBI special agent portrayed by Jamie Foxx in the 2007 action-thriller film "The Kingdom."
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96cc31b8819086ca980521f94501 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:44 p.m.