Triple

T6579113
Position Surface form Disambiguated ID Type / Status
Subject Carmelina E157245 entity
Predicate producer P490 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: [Carmelina, producer, Cy Feuer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cy Feuer
Context triple: [Carmelina, producer, 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. Frank Faylen
    Frank Faylen was an American character actor best known for his supporting roles in classic films like "It's a Wonderful Life" and "The Lost Weekend," as well as numerous television appearances.
  • C. Iron Felix
    Iron Felix is the nickname of Felix Dzerzhinsky, the Soviet revolutionary who founded and led the Cheka, the Bolshevik secret police.
  • D. Figan
    Figan is an individual known primarily through their familial relationship as the child of Flo.
  • E. Victor Feldbrill
    Victor Feldbrill was a prominent Canadian conductor known for championing Canadian composers and leading major orchestras across the country.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae8dad608190b4708368a7af6e5d completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56fe8f08190ad30773f29b207c5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.