Triple

T5398191
Position Surface form Disambiguated ID Type / Status
Subject Guys and Dolls E120708 entity
Predicate originalBroadwayProducer P33162 FINISHED
Object Cy Feuer E475565 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: Cy Feuer | Statement: [Guys and Dolls, originalBroadwayProducer, Cy Feuer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cy Feuer
Context triple: [Guys and Dolls, originalBroadwayProducer, Cy Feuer]
  • A. Cy Feuer chosen
    Cy Feuer was an American theater and film producer and director best known for his work on numerous successful Broadway musicals in the mid-20th century.
  • B. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • C. Figan
    Figan is an individual known primarily through their familial relationship as the child of Flo.
  • D. Victor Feldbrill
    Victor Feldbrill was a prominent Canadian conductor known for championing Canadian composers and leading major orchestras across the country.
  • E. Jonathan Stark
    Jonathan Stark is an American actor and television writer best known for his role in the 1985 horror-comedy film "Fright Night" and for his work on sitcoms such as "According to Jim."
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd87485d5c819096ae574b1badc9d5 completed March 20, 2026, 5:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3379aae881909217c29aee856e5d completed March 22, 2026, 12:10 a.m.
Created at: March 20, 2026, 2:04 p.m.