Triple
T22567969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alex Katz |
E558003
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alex Katz |
—
|
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: Alex Katz | Statement: [Alex Katz, name, Alex Katz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Katz Context triple: [Alex Katz, name, Alex Katz]
-
A.
Alex Katz
chosen
Alex Katz is an American figurative artist renowned for his large-scale, flatly painted portraits and landscapes that helped pave the way for Pop Art.
-
B.
William Rotko
William Rotko is an American screenwriter best known for co-writing the 2007 espionage thriller film "Breach."
-
C.
Lazar Krasner
Lazar Krasner was a relative of the influential American abstract expressionist painter Lee Krasner, known primarily through this family connection.
-
D.
Art Evans
Art Evans is an American character actor known for his supporting roles in films and television, particularly in 1980s and 1990s dramas and comedies.
-
E.
Philip Pearlstein
Philip Pearlstein was an American painter best known for his large-scale, sharply realistic nude figure paintings that helped redefine figurative art in the late 20th century.
- 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_69e11e5ae4ac8190b1f503457603d969 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15fabb9f081908c33c8e2ddf18047 |
completed | April 29, 2026, 1:32 a.m. |
Created at: April 16, 2026, 8:52 p.m.