Triple

T8776378
Position Surface form Disambiguated ID Type / Status
Subject Vamp E208592 entity
Predicate starring P1507 FINISHED
Object Robert Rusler E721813 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: Robert Rusler | Statement: [Vamp, starring, Robert Rusler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Rusler
Context triple: [Vamp, starring, Robert Rusler]
  • A. Robert Rusler chosen
    Robert Rusler is an American actor best known for his roles in 1980s and 1990s horror and teen films, including appearances in "A Nightmare on Elm Street 2: Freddy's Revenge" and "Weird Science."
  • B. William Poduska
    William Poduska is an American entrepreneur and computer engineer best known for founding multiple influential high-technology companies, including Apollo Computer.
  • C. John Kundla
    John Kundla was a Hall of Fame American basketball coach best known for leading the Minneapolis Lakers to multiple early NBA championships.
  • D. Joseph Eybler
    Joseph Eybler was an Austrian composer and contemporary of Mozart, known for his sacred music and for assisting in the completion of Mozart’s unfinished works.
  • E. William Rotsler
    William Rotsler was an American science fiction fan, artist, and writer known for his prolific fan art, cartoons, and contributions to fandom culture.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f5086088190b317cf2aac7bee83 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf890077a881908ebddefc36b978d1 completed April 3, 2026, 9:31 a.m.
Created at: March 30, 2026, 6:42 p.m.