Triple

T13266120
Position Surface form Disambiguated ID Type / Status
Subject Andrew Bryniarski E315927 entity
Predicate hasFamilyName P18 FINISHED
Object Bryniarski
Bryniarski is a Polish-origin surname most notably associated with American actor and former bodybuilder Andrew Bryniarski.
E1031226 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: Bryniarski | Statement: [Andrew Bryniarski, hasFamilyName, Bryniarski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bryniarski
Context triple: [Andrew Bryniarski, hasFamilyName, Bryniarski]
  • A. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • B. Hryniewicz
    Hryniewicz is a Polish surname most notably borne by the Catholic theologian and ecumenist Wacław Hryniewicz.
  • C. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • D. Napieralski
    Napieralski is a Polish surname most notably associated with Grzegorz Napieralski, a contemporary Polish politician.
  • E. Mordarski
    Mordarski is a taxonomist credited with formally describing and classifying bacterial taxa within the order Corynebacteriales.
  • 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: Bryniarski
Triple: [Andrew Bryniarski, hasFamilyName, Bryniarski]
Generated description
Bryniarski is a Polish-origin surname most notably associated with American actor and former bodybuilder Andrew Bryniarski.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bryniarski
Target entity description: Bryniarski is a Polish-origin surname most notably associated with American actor and former bodybuilder Andrew Bryniarski.
  • A. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • B. Hryniewicz
    Hryniewicz is a Polish surname most notably borne by the Catholic theologian and ecumenist Wacław Hryniewicz.
  • C. Zaslofsky
    Zaslofsky is a surname most notably associated with Max Zaslofsky, an early star guard in the National Basketball Association.
  • D. Napieralski
    Napieralski is a Polish surname most notably associated with Grzegorz Napieralski, a contemporary Polish politician.
  • E. Mordarski
    Mordarski is a taxonomist credited with formally describing and classifying bacterial taxa within the order Corynebacteriales.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901e44bc8190966f87ae219d6bf4 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.