Triple

T10973082
Position Surface form Disambiguated ID Type / Status
Subject Slevin Kelevra E259295 entity
Predicate enemyOf P437 FINISHED
Object Brikowski
Brikowski is a character in the crime thriller film "Lucky Number Slevin," serving as one of the antagonistic figures entangled in the movie’s complex underworld conflicts.
E896811 NE FINISHED

How this triple was built (4 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: Brikowski | Statement: [Slevin Kelevra, enemyOf, Brikowski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brikowski
Context triple: [Slevin Kelevra, enemyOf, Brikowski]
  • A. Bryk
    Bryk is a surname most notably associated with Finnish ceramic artist Rut Bryk and her family of prominent designers and artists.
  • B. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • C. Brok
    Brok is a small historic town in east-central Poland, situated in the Masovian Voivodeship and known for its scenic location by the Bug River.
  • D. Bikin
    Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
  • E. Boll
    Boll is a district or locality within the town of Oberndorf am Neckar in the German state of Baden-Württemberg.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Brikowski
Triple: [Slevin Kelevra, enemyOf, Brikowski]
Generated description
Brikowski is a character in the crime thriller film "Lucky Number Slevin," serving as one of the antagonistic figures entangled in the movie’s complex underworld conflicts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Brikowski
Target entity description: Brikowski is a character in the crime thriller film "Lucky Number Slevin," serving as one of the antagonistic figures entangled in the movie’s complex underworld conflicts.
  • A. Bryk
    Bryk is a surname most notably associated with Finnish ceramic artist Rut Bryk and her family of prominent designers and artists.
  • B. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • C. Brok
    Brok is a small historic town in east-central Poland, situated in the Masovian Voivodeship and known for its scenic location by the Bug River.
  • D. Bikin
    Bikin is a town in Khabarovsk Krai in Russia, known as a local administrative and transport center near the Bikin River in the Russian Far East.
  • E. Boll
    Boll is a district or locality within the town of Oberndorf am Neckar in the German state of Baden-Württemberg.
  • F. None of above. chosen

Provenance (5 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7719c16648190ab5a87abb1c61990 completed April 9, 2026, 9:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7a0b3dc819084fbda3227caf5b5 completed April 18, 2026, 1 a.m.
NEDg Description generation batch_69e2ff211ae88190a40380cd25a61812 completed April 18, 2026, 3:48 a.m.
NED2 Entity disambiguation (via description) batch_69e32634397481908284c04448274b25 completed April 18, 2026, 6:35 a.m.
Created at: April 8, 2026, 9:24 p.m.