Triple

T5315025
Position Surface form Disambiguated ID Type / Status
Subject Anthony Katagas E119125 entity
Predicate notableWork P4 FINISHED
Object Little Odessa E348066 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: Little Odessa | Statement: [Anthony Katagas, notableWork, Little Odessa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Little Odessa
Context triple: [Anthony Katagas, notableWork, Little Odessa]
  • A. Little Odessa chosen
    Little Odessa is a 1994 crime drama film directed by James Gray that follows a hitman returning to his Russian-Jewish immigrant community in Brooklyn’s Brighton Beach.
  • B. Sovkino
    Sovkino was a Soviet state film production and distribution company active in the 1920s, instrumental in developing early Soviet cinema and promoting revolutionary propaganda films.
  • C. Little Jerusalem
    Little Jerusalem is the affectionate nickname for the Italian town of Pitigliano, renowned for its historic Jewish community and well-preserved Jewish quarter.
  • D. Mirgorod
    Mirgorod is a collection of short stories by Russian-Ukrainian writer Nikolai Gogol, known for its blend of folklore, satire, and psychological insight into provincial life.
  • E. Kastoria
    Kastoria is a picturesque lakeside city in northern Greece renowned for its Byzantine churches, traditional stone mansions, and historic fur trade.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd854eb3248190b42a4b52f1c81bef completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf110ad9688190aa74122adb8ee52d completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:54 p.m.