Triple

T12115454
Position Surface form Disambiguated ID Type / Status
Subject Father's Little Dividend E288546 entity
Predicate musicBy P1952 FINISHED
Object Adolph Deutsch E302419 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: Adolph Deutsch | Statement: [Father's Little Dividend, musicBy, Adolph Deutsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adolph Deutsch
Context triple: [Father's Little Dividend, musicBy, Adolph Deutsch]
  • A. Adolph Deutsch chosen
    Adolph Deutsch was a British-American composer and conductor best known for his film scores during Hollywood's Golden Age, including classic noir and crime dramas.
  • B. Gustav Weiss
    Gustav Weiss is a relatively obscure individual whose name is noted primarily as a recorded bearer of the surname Weiss.
  • C. Eduard Weiss
    Eduard Weiss is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Weiss.
  • D. Adolph Tandler
    Adolph Tandler was a film music composer and conductor active in early Hollywood cinema.
  • E. Gustav Heinemann
    Gustav Heinemann was a German politician who served as President of the Federal Republic of Germany from 1969 to 1974 and was known for his strong commitment to democracy and civil liberties.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9156921dc8190aa132b0ab3a7c184 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dcec0c8190a5e4ac0aafd34504 completed May 9, 2026, 6:54 p.m.
Created at: April 8, 2026, 9:49 p.m.