Triple

T15757232
Position Surface form Disambiguated ID Type / Status
Subject The Assistant E381997 entity
Predicate featuresCharacter P626 FINISHED
Object Morris Bober E1262187 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: Morris Bober | Statement: [The Assistant, featuresCharacter, Morris Bober]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morris Bober
Context triple: [The Assistant, featuresCharacter, Morris Bober]
  • A. Morris Bober chosen
    Morris Bober is the weary, self-sacrificing Jewish shopkeeper at the center of Bernard Malamud’s novel "The Assistant," whose quiet integrity shapes the moral journey of those around him.
  • B. Louis Gruenberg
    Louis Gruenberg was a 20th-century American composer and pianist known for his operas, film scores, and contributions to modern classical music.
  • C. Edmund Meisel
    Edmund Meisel was a German composer best known for his pioneering, politically charged film scores for silent cinema, particularly his work on Soviet montage films.
  • D. Arthur Kober
    Arthur Kober was an American humorist, playwright, and screenwriter known for his witty short stories and work in Hollywood during the mid-20th century.
  • E. Irving Brecher
    Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
  • 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_69d86d9e6b44819085d1f6a969ecb74c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e050b1ff4881909d5240d1d30f5c8b completed April 16, 2026, 3 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c32b4a88190a07db59965b38890 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 4:47 a.m.