Triple
T16670695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Cult |
E405097
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mark Brzezicki |
—
|
NE NERFINISHED |
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: Mark Brzezicki | Statement: [The Cult, hasMember, Mark Brzezicki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Brzezicki Context triple: [The Cult, hasMember, Mark Brzezicki]
-
A.
Mark Brzezicki
chosen
Mark Brzezicki is an English rock drummer best known as a founding member of Big Country and a prolific session musician who has played with numerous prominent bands and artists.
-
B.
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.
-
C.
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.
-
D.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
E.
Andrew Goczkowski
Andrew Goczkowski is an American local government leader serving as the mayor of Des Plaines, Illinois.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8838b5fbc81908c6575c132b82e80 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca079ec819090b356c86a9241cc |
completed | April 18, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:18 a.m.