Triple

T21766795
Position Surface form Disambiguated ID Type / Status
Subject Bud Abbott and Lou Costello in Hollywood E537314 entity
Predicate stars P1956 FINISHED
Object Warner Anderson 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: Warner Anderson | Statement: [Bud Abbott and Lou Costello in Hollywood, stars, Warner Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warner Anderson
Context triple: [Bud Abbott and Lou Costello in Hollywood, stars, Warner Anderson]
  • A. Warner Anderson chosen
    Warner Anderson was an American film and television actor active from the 1930s to the 1970s, known for his character roles in dramas and crime stories.
  • B. Walt Anderson
    Walt Anderson is a former NFL official who served as a longtime referee and later became the league’s senior vice president of officiating.
  • C. Wilder Anderson
    Wilder Anderson is a person known primarily for bearing the given name Wilder.
  • D. Roy Anderson
    Roy Anderson is a British epidemiologist and academic leader known for his influential work in infectious disease modeling and his tenure heading major scientific institutions.
  • E. Roy Anderson
    Roy Anderson is a fictional warehouse worker and former fiancé of Pam Beesly on the U.S. television series "The Office."
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031aa9c888190887c5c1d1e3bab9f completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.