Triple

T11785913
Position Surface form Disambiguated ID Type / Status
Subject Hare Trigger E280268 entity
Predicate producer P490 FINISHED
Object Edward Selzer E923111 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: Edward Selzer | Statement: [Hare Trigger, producer, Edward Selzer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Edward Selzer
Context triple: [Hare Trigger, producer, Edward Selzer]
  • A. Edward Selzer chosen
    Edward Selzer was an American film producer best known for overseeing numerous classic Warner Bros. Looney Tunes and Merrie Melodies cartoons during the mid-20th century.
  • B. Walter Hollander
    Walter Hollander is a relatively obscure individual whose name is notably associated with the surname Hollander.
  • C. Carl Friedberg
    Carl Friedberg was a German pianist and influential teacher renowned for his interpretations of the Romantic repertoire and his close artistic lineage to the Schumann and Brahms traditions.
  • D. Paul Hollander
    Paul Hollander was a Hungarian-American sociologist and author best known for his critical analyses of communism, political ideology, and intellectuals’ attitudes toward totalitarian regimes.
  • E. Walter Seltzer
    Walter Seltzer was an American film producer known for his work on science fiction and genre films in the mid-20th century.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a585795c8190aa8a5edf0d99b47f completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f090d861f481909b920197a3d60e28 completed April 28, 2026, 10:50 a.m.
Created at: April 8, 2026, 9:42 p.m.