Triple
T20231423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piekarski |
E495534
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Brian Piekarski
Brian Piekarski is an individual notable enough to be specifically referenced by the surname Piekarski, though detailed public information about him is limited.
|
E1420069
|
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: Brian Piekarski | Statement: [Piekarski, hasNotableBearer, Brian Piekarski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brian Piekarski Context triple: [Piekarski, hasNotableBearer, Brian Piekarski]
-
A.
Michael Marczak
Michael Marczak is a Polish filmmaker and music video director known for his visually distinctive, documentary-influenced style in both narrative and commercial projects.
-
B.
Brett Pawlak
Brett Pawlak is a film cinematographer known for his visually compelling work on feature films such as "Just Mercy."
-
C.
Steve Jankowski
Steve Jankowski is an American musician and trumpeter known for his work with bands such as Chicago and Blood, Sweat & Tears.
-
D.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
E.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
- 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: Brian Piekarski Triple: [Piekarski, hasNotableBearer, Brian Piekarski]
Generated description
Brian Piekarski is an individual notable enough to be specifically referenced by the surname Piekarski, though detailed public information about him is limited.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brian Piekarski Target entity description: Brian Piekarski is an individual notable enough to be specifically referenced by the surname Piekarski, though detailed public information about him is limited.
-
A.
Michael Marczak
Michael Marczak is a Polish filmmaker and music video director known for his visually distinctive, documentary-influenced style in both narrative and commercial projects.
-
B.
Brett Pawlak
Brett Pawlak is a film cinematographer known for his visually compelling work on feature films such as "Just Mercy."
-
C.
Steve Jankowski
Steve Jankowski is an American musician and trumpeter known for his work with bands such as Chicago and Blood, Sweat & Tears.
-
D.
Michael Nolin
Michael Nolin is an American film producer best known for his work on the acclaimed music drama "Mr. Holland's Opus."
-
E.
Mike Konopacki
Mike Konopacki is an American political cartoonist known for his labor- and social-justice-focused comics and graphic works.
- 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_69da626cff80819097b530718a7c98b6 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66fddafac819089cef4158f5e0ab5 |
completed | April 20, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08551dbe188190b04109a0ed355ff0 |
completed | May 16, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a0855ea027481908eebd5cff8ac97fb |
completed | May 16, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08568fa1748190b4e2c21fc3ec0b63 |
completed | May 16, 2026, 11:35 a.m. |
Created at: April 11, 2026, 11:39 p.m.