Triple

T14454609
Position Surface form Disambiguated ID Type / Status
Subject In Old Chicago E358424 entity
Predicate composer P1361 FINISHED
Object Louis Silvers E52712 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: Louis Silvers | Statement: [In Old Chicago, composer, Louis Silvers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louis Silvers
Context triple: [In Old Chicago, composer, Louis Silvers]
  • A. Louis Silvers chosen
    Louis Silvers was an American composer and musical director best known for scoring early sound films in Hollywood during the late 1920s and 1930s.
  • B. John Davinier
    John Davinier is a character in the historical drama film "Belle," depicted as a passionate idealist and love interest of the title character, Dido Elizabeth Belle.
  • C. Jules Burns
    Jules Burns is a British media executive best known as a co-founder of the television production and distribution company All3Media.
  • D. Winston Silver
    Winston Silver is a lighter, lower-tar and nicotine variant of the Winston brand of cigarettes.
  • E. Howard Silk
    Howard Silk is the central protagonist of the science fiction thriller TV series "Counterpart," portrayed as a low-level bureaucrat who discovers a parallel world and his more ruthless doppelgänger.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a8bf088190abf5fd4f646b8c62 completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd648f56608190b6d55c592c088575 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.