Triple
T20167127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Kostabi |
E491850
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Kostabi |
—
|
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 Kostabi | Statement: [Mark Kostabi, name, Mark Kostabi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Kostabi Context triple: [Mark Kostabi, name, Mark Kostabi]
-
A.
Mark Kostabi
chosen
Mark Kostabi is an American artist and composer known for his stylized, faceless figures and for designing notable album covers for major rock bands.
-
B.
Andrew Cividino
Andrew Cividino is a Canadian film and television director best known for his work on the acclaimed comedy series "Schitt's Creek."
-
C.
Mark Dacascos
Mark Dacascos is an American actor and martial artist known for his roles in action films and television, as well as for serving as the Chairman on the TV show "Iron Chef America."
-
D.
Michael Kessler
Michael Kessler is a German actor and comedian known for his work in film, television, and sketch comedy.
-
E.
David Kajganich
David Kajganich is an American screenwriter and producer known for his work on atmospheric horror and thriller projects such as the TV series "The Terror" and the film "Suspiria."
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66844e49081909b7e9ec2b65cc61d |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.