Triple

T19179477
Position Surface form Disambiguated ID Type / Status
Subject Proxima E469532 entity
Predicate hasCharacter P2308 FINISHED
Object Stef Kalinski
Stef Kalinski is a fictional character appearing in the Proxima universe.
E1363420 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: Stef Kalinski | Statement: [Proxima, hasCharacter, Stef Kalinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stef Kalinski
Context triple: [Proxima, hasCharacter, Stef Kalinski]
  • A. Andrew Bryniarski
    Andrew Bryniarski is an American actor and former bodybuilder best known for playing imposing, physically intimidating characters in films such as The Texas Chainsaw Massacre (2003) and its prequel.
  • B. Martin Kosleck
    Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
  • C. Kevin Kliesch
    Kevin Kliesch is an American composer and orchestrator known for his work on animated films and television series, including Disney projects.
  • D. Alex Katunich
    Alex Katunich is an American bassist best known for his work with the rock band Incubus during their early and most commercially successful years.
  • E. Jan Kiesser
    Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
  • 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: Stef Kalinski
Triple: [Proxima, hasCharacter, Stef Kalinski]
Generated description
Stef Kalinski is a fictional character appearing in the Proxima universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Stef Kalinski
Target entity description: Stef Kalinski is a fictional character appearing in the Proxima universe.
  • A. Andrew Bryniarski
    Andrew Bryniarski is an American actor and former bodybuilder best known for playing imposing, physically intimidating characters in films such as The Texas Chainsaw Massacre (2003) and its prequel.
  • B. Martin Kosleck
    Martin Kosleck was a German-American character actor best known for playing suave villains and Nazi antagonists in Hollywood films of the 1930s and 1940s.
  • C. Kevin Kliesch
    Kevin Kliesch is an American composer and orchestrator known for his work on animated films and television series, including Disney projects.
  • D. Alex Katunich
    Alex Katunich is an American bassist best known for his work with the rock band Incubus during their early and most commercially successful years.
  • E. Jan Kiesser
    Jan Kiesser is a Canadian cinematographer known for his work on genre films and television, including the 1985 horror film "Fright Night."
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61ae4108190b3715261cac2dd86 completed April 20, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f8b247b48190b4056b99a194d775 completed May 15, 2026, 10:42 a.m.
NEDg Description generation batch_6a06fa3508a081908e76f7f865ca65ce completed May 15, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a06fb454edc8190a1489c04bc749852 completed May 15, 2026, 10:53 a.m.
Created at: April 10, 2026, 12:07 p.m.