Triple

T7630992
Position Surface form Disambiguated ID Type / Status
Subject The Client E172757 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: [The Client, editedBy, Dennis Virkler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dennis Virkler
Context triple: [The Client, 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. Michael Vavitch
    Michael Vavitch was a silent-era film actor known for his role in the 1924 drama "The Red Lily."
  • D. Nigel Glockler
    Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
  • E. Duane Schuler
    Duane Schuler is an American theatrical lighting designer known for his work in opera, including major productions at leading opera houses.
  • 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_69c699517e348190bd3348b6889200f2 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa85c57c8190acfd33e0c890c2f9 completed March 27, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c91b1bd9148190931ce1a2a42f729b completed March 29, 2026, 12:29 p.m.
Created at: March 27, 2026, 3:56 p.m.