Triple

T15393098
Position Surface form Disambiguated ID Type / Status
Subject FX2 E368097 entity
Predicate editedBy P1954 FINISHED
Object Dennis Virkler E502724 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: Dennis Virkler | Statement: [FX2, editedBy, Dennis Virkler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Virkler
Context triple: [FX2, editedBy, Dennis Virkler]
  • A. Dennis Virkler chosen
    Dennis Virkler was an American film editor known for his work on numerous Hollywood features, including major comedies and action films.
  • B. Dennis Lauscha
    Dennis Lauscha is an American sports executive who serves as a top leader within the New Orleans professional sports organization, overseeing business operations for the Saints and related ventures.
  • C. Dennis Dreith
    Dennis Dreith is an American composer, orchestrator, and music industry executive known for his work on film and television scores and for advocating for musicians’ rights.
  • D. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • E. Nigel Glockler
    Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7838b48190862b43c6c8620692 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c78f36d88190a39f407c5d8dbc0d completed May 10, 2026, 5:59 p.m.
Created at: April 10, 2026, 3:19 a.m.